Triple
T9745201
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bukidnon |
E236288
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object |
Valencia
Valencia is a major inland city in the Philippine province of Bukidnon, known as a commercial and agricultural hub in Northern Mindanao.
|
E819451
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Valencia | Statement: [Bukidnon, hasCity, Valencia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Valencia Context triple: [Bukidnon, hasCity, Valencia]
-
A.
Valencia
Valencia is a major Spanish coastal city known for its historic architecture, vibrant culture, and significant role as a key Mediterranean trade and tourism hub.
-
B.
Valencia
Valencia is a municipality in the Philippine province of Negros Oriental known for its cool climate, geothermal energy resources, and natural attractions such as waterfalls and mountain landscapes.
-
C.
Valencia
Valencia is a city in Ecuador that serves as the capital of Los Ríos Province’s Valencia Canton and is known for its agricultural surroundings and tropical climate.
-
D.
Valencia
Valencia was the original working title for the 2016 psychological thriller film "10 Cloverfield Lane."
-
E.
Valencia
Valencia is a major industrial and commercial city in north-central Venezuela and the capital of Carabobo state.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Valencia Triple: [Bukidnon, hasCity, Valencia]
Generated description
Valencia is a major inland city in the Philippine province of Bukidnon, known as a commercial and agricultural hub in Northern Mindanao.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Valencia Target entity description: Valencia is a major inland city in the Philippine province of Bukidnon, known as a commercial and agricultural hub in Northern Mindanao.
-
A.
Valencia
Valencia is a municipality in the Philippine province of Negros Oriental known for its cool climate, geothermal energy resources, and natural attractions such as waterfalls and mountain landscapes.
-
B.
Valencia
Valencia is a major industrial and commercial city in north-central Venezuela and the capital of Carabobo state.
-
C.
Valencia
Valencia is a city in Ecuador that serves as the capital of Los Ríos Province’s Valencia Canton and is known for its agricultural surroundings and tropical climate.
-
D.
Valencia
Valencia is a major Spanish coastal city known for its historic architecture, vibrant culture, and significant role as a key Mediterranean trade and tourism hub.
-
E.
Valencia
Valencia is a master-planned community in northern Los Angeles County, California, now incorporated into the city of Santa Clarita and known for its residential neighborhoods, shopping centers, and proximity to Six Flags Magic Mountain.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69ca84d3e24481908a476e2231123cf9 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9f2f8e648190ad94c940f9dc1de0 |
completed | April 1, 2026, 10:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1bca63c3c819084aec1c0bb962ffe |
completed | April 5, 2026, 1:36 a.m. |
| NEDg | Description generation | batch_69d1bd42e3888190b13970710a9620d7 |
completed | April 5, 2026, 1:39 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d1bdd5ec94819083edd1cb2c9598a0 |
completed | April 5, 2026, 1:41 a.m. |
Created at: March 30, 2026, 8:23 p.m.