Triple
T12130404
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baler, Aurora, Philippines |
E288919
|
entity |
| Predicate | hasBarangay |
P29835
|
FINISHED |
| Object |
Obligacion
Obligacion is a barangay (village-level administrative division) within the municipality of Baler in the province of Aurora, Philippines.
|
E967976
|
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: Obligacion | Statement: [Baler, Aurora, Philippines, hasBarangay, Obligacion]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Obligacion Context triple: [Baler, Aurora, Philippines, hasBarangay, Obligacion]
-
A.
The Debt
The Debt is a film associated with John Madden, best known as a director of character-driven dramas and thrillers.
-
B.
The Debt
The Debt is a work associated with Ben Davis, likely a book or significant publication reflecting his perspectives or expertise.
-
C.
Leende
Leende is a village in the Dutch province of North Brabant, historically part of the baronial estate of Heeze, Leende and Zesgehuchten.
-
D.
OBELIX
OBELIX is an experimental system or component associated with the LEAR project, likely designed to test or extend its research capabilities.
-
E.
Querença
Querença is a traditional rural village in Portugal’s Algarve region, known for its whitewashed houses, natural springs, and cultural festivals.
- 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: Obligacion Triple: [Baler, Aurora, Philippines, hasBarangay, Obligacion]
Generated description
Obligacion is a barangay (village-level administrative division) within the municipality of Baler in the province of Aurora, Philippines.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Obligacion Target entity description: Obligacion is a barangay (village-level administrative division) within the municipality of Baler in the province of Aurora, Philippines.
-
A.
The Debt
The Debt is a film associated with John Madden, best known as a director of character-driven dramas and thrillers.
-
B.
The Debt
The Debt is a work associated with Ben Davis, likely a book or significant publication reflecting his perspectives or expertise.
-
C.
Leende
Leende is a village in the Dutch province of North Brabant, historically part of the baronial estate of Heeze, Leende and Zesgehuchten.
-
D.
OBELIX
OBELIX is an experimental system or component associated with the LEAR project, likely designed to test or extend its research capabilities.
-
E.
Querença
Querença is a traditional rural village in Portugal’s Algarve region, known for its whitewashed houses, natural springs, and cultural festivals.
- 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_69d6ab4b5e4c81909950b17151eb0951 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9158a2c2c8190aaff9d0cce177565 |
completed | April 10, 2026, 3:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f5f68ac15c81908388dd3194e9dfc4 |
completed | May 2, 2026, 1:05 p.m. |
| NEDg | Description generation | batch_69f6048d6f24819093862fb46f9938f1 |
completed | May 2, 2026, 2:05 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6056e3fdc81908e6e97c4c37a18bb |
completed | May 2, 2026, 2:08 p.m. |
Created at: April 8, 2026, 9:49 p.m.