Triple
T2264199
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Negros Oriental |
E50107
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object |
Canlaon
Canlaon is a city in the Philippines known for its proximity to Mount Kanlaon, an active volcano and prominent natural landmark on Negros Island.
|
E251852
|
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: Canlaon | Statement: [Negros Oriental, hasCity, Canlaon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Canlaon Context triple: [Negros Oriental, hasCity, Canlaon]
-
A.
Surigaonon
Surigaonon is a Visayan language spoken primarily in the Caraga region of northeastern Mindanao in the Philippines.
-
B.
Tagbilaran
Tagbilaran is a coastal city on Bohol Island in the central Philippines, known as the province’s capital and a key hub for tourism and commerce in the Visayas region.
-
C.
Moalboal
Moalboal is a coastal town in the Philippines renowned for its vibrant coral reefs, sardine runs, and popular diving and snorkeling spots.
-
D.
Santa Cruz, Laguna
Santa Cruz, Laguna is a municipality in the Philippines that serves as the political and administrative center of the province of Laguna.
-
E.
Malpaso
Malpaso is the highest peak on the Canary Island of El Hierro, known for its panoramic views over the island and surrounding Atlantic Ocean.
- 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: Canlaon Triple: [Negros Oriental, hasCity, Canlaon]
Generated description
Canlaon is a city in the Philippines known for its proximity to Mount Kanlaon, an active volcano and prominent natural landmark on Negros Island.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Canlaon Target entity description: Canlaon is a city in the Philippines known for its proximity to Mount Kanlaon, an active volcano and prominent natural landmark on Negros Island.
-
A.
Surigaonon
Surigaonon is a Visayan language spoken primarily in the Caraga region of northeastern Mindanao in the Philippines.
-
B.
Tagbilaran
Tagbilaran is a coastal city on Bohol Island in the central Philippines, known as the province’s capital and a key hub for tourism and commerce in the Visayas region.
-
C.
Moalboal
Moalboal is a coastal town in the Philippines renowned for its vibrant coral reefs, sardine runs, and popular diving and snorkeling spots.
-
D.
Santa Cruz, Laguna
Santa Cruz, Laguna is a municipality in the Philippines that serves as the political and administrative center of the province of Laguna.
-
E.
Malpaso
Malpaso is the highest peak on the Canary Island of El Hierro, known for its panoramic views over the island and surrounding Atlantic Ocean.
- 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_69a88b01e0048190ba96431b5f990ba9 |
completed | March 4, 2026, 7:41 p.m. |
| NER | Named-entity recognition | batch_69abc18d7fc08190851765683d1b8092 |
completed | March 7, 2026, 6:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae71cfd3b08190988474aa0fa985fe |
completed | March 9, 2026, 7:08 a.m. |
| NEDg | Description generation | batch_69ae7688583c8190abb05be41103762a |
completed | March 9, 2026, 7:28 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae76ec3c0c8190bfb7d25b435c777f |
completed | March 9, 2026, 7:29 a.m. |
Created at: March 4, 2026, 7:48 p.m.