Triple
T11091296
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Davao Oriental |
E262260
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Lupon
Lupon is a coastal municipality in the province of Davao Oriental on the island of Mindanao in the Philippines.
|
E904216
|
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: Lupon | Statement: [Davao Oriental, contains, Lupon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lupon Context triple: [Davao Oriental, contains, Lupon]
-
A.
Lupao
Lupao is a landlocked agricultural municipality in the province of Nueva Ecija in the Central Luzon region of the Philippines.
-
B.
Maragondon
Maragondon is a historic rural municipality in the province of Cavite in the Philippines, known for its Spanish-era heritage sites and nearby natural attractions.
-
C.
Borongan
Borongan is a coastal city in Eastern Samar, Philippines, known as a regional center and gateway to the natural attractions of Samar Island.
-
D.
Liboi
Liboi is a small Kenyan border town in the arid northeast near Somalia, serving as a local trading and transit point.
-
E.
Kapyong
Kapyong is a Korean War battlefield in South Korea renowned for a pivotal 1951 engagement in which outnumbered UN forces, including Canadian troops, halted a major Chinese offensive.
- 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: Lupon Triple: [Davao Oriental, contains, Lupon]
Generated description
Lupon is a coastal municipality in the province of Davao Oriental on the island of Mindanao in the Philippines.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lupon Target entity description: Lupon is a coastal municipality in the province of Davao Oriental on the island of Mindanao in the Philippines.
-
A.
Lupao
Lupao is a landlocked agricultural municipality in the province of Nueva Ecija in the Central Luzon region of the Philippines.
-
B.
Maragondon
Maragondon is a historic rural municipality in the province of Cavite in the Philippines, known for its Spanish-era heritage sites and nearby natural attractions.
-
C.
Borongan
Borongan is a coastal city in Eastern Samar, Philippines, known as a regional center and gateway to the natural attractions of Samar Island.
-
D.
Liboi
Liboi is a small Kenyan border town in the arid northeast near Somalia, serving as a local trading and transit point.
-
E.
Kapyong
Kapyong is a Korean War battlefield in South Korea renowned for a pivotal 1951 engagement in which outnumbered UN forces, including Canadian troops, halted a major Chinese offensive.
- 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_69d6aa9a40d88190a373e2c7e48285db |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d799ebae8c8190987b474adb7ede47 |
completed | April 9, 2026, 12:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e3e7c586808190a576803b7406a49e |
completed | April 18, 2026, 8:21 p.m. |
| NEDg | Description generation | batch_69e3f2cafc008190a3504999297f1e4e |
completed | April 18, 2026, 9:08 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e3f488819081908f9a4225279cde6b |
completed | April 18, 2026, 9:15 p.m. |
Created at: April 8, 2026, 9:27 p.m.