Triple
T12724220
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Abra |
E304062
|
entity |
| Predicate | hasCapital |
P204
|
FINISHED |
| Object |
Bangued
Bangued is a municipality in the Philippines that serves as the political and economic center of the province of Abra.
|
E1027239
|
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: Bangued | Statement: [Abra, hasCapital, Bangued]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bangued Context triple: [Abra, hasCapital, Bangued]
-
A.
Bansalan
Bansalan is a municipality in the province of Davao del Sur in the Philippines, known for its agricultural economy and rural communities.
-
B.
Balingoan
Balingoan is a coastal municipality in the Philippines known as a key ferry gateway to the island province of Camiguin.
-
C.
Kidapawan
Kidapawan is a city in the Philippines that serves as the capital of Cotabato province on the island of Mindanao.
-
D.
Argao
Argao is a coastal municipality in the southeastern part of Cebu, Philippines, known for its Spanish-era heritage structures and traditional delicacies.
-
E.
Bucoda
Bucoda is a small town in Thurston County, Washington, known for its historic coal-mining roots and its claim as the "World's Tiniest Town with the Biggest Halloween Spirit."
- 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: Bangued Triple: [Abra, hasCapital, Bangued]
Generated description
Bangued is a municipality in the Philippines that serves as the political and economic center of the province of Abra.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bangued Target entity description: Bangued is a municipality in the Philippines that serves as the political and economic center of the province of Abra.
-
A.
Bansalan
Bansalan is a municipality in the province of Davao del Sur in the Philippines, known for its agricultural economy and rural communities.
-
B.
Balingoan
Balingoan is a coastal municipality in the Philippines known as a key ferry gateway to the island province of Camiguin.
-
C.
Kidapawan
Kidapawan is a city in the Philippines that serves as the capital of Cotabato province on the island of Mindanao.
-
D.
Argao
Argao is a coastal municipality in the southeastern part of Cebu, Philippines, known for its Spanish-era heritage structures and traditional delicacies.
-
E.
Bucoda
Bucoda is a small town in Thurston County, Washington, known for its historic coal-mining roots and its claim as the "World's Tiniest Town with the Biggest Halloween Spirit."
- 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_69d7bdf084148190ab9d513dc0735af4 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d964148f988190a4d0e7b41614fa64 |
completed | April 10, 2026, 8:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6f5b9e0c4819095194dc42677e17f |
completed | May 3, 2026, 7:14 a.m. |
| NEDg | Description generation | batch_69f6f80b420c8190b5028be4fa99fb59 |
completed | May 3, 2026, 7:23 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6f89072a88190b3182f581b1b6762 |
completed | May 3, 2026, 7:26 a.m. |
Created at: April 9, 2026, 5:25 p.m.