Triple
T2264210
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Negros Oriental |
E50107
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object |
Bindoy
Bindoy is a coastal municipality in the province of Negros Oriental in the Philippines, known for its agricultural economy and scenic marine and rural landscapes.
|
E251857
|
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: Bindoy | Statement: [Negros Oriental, hasMunicipality, Bindoy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bindoy Context triple: [Negros Oriental, hasMunicipality, Bindoy]
-
A.
Baney
Baney is a small town and district capital located on Bioko Island in Equatorial Guinea.
-
B.
Daboll
Daboll is a surname most prominently associated with Brian Daboll, a professional American football coach in the National Football League.
-
C.
Lamon
Lamon is an archaeological site notable for inscriptions in the ancient Venetic language.
-
D.
Aldridge
Aldridge is an English-origin surname borne by various notable individuals in fields such as sports, entertainment, and the arts.
-
E.
Carmelo
Carmelo is a masculine given name most prominently associated with former NBA star Carmelo Anthony.
- 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: Bindoy Triple: [Negros Oriental, hasMunicipality, Bindoy]
Generated description
Bindoy is a coastal municipality in the province of Negros Oriental in the Philippines, known for its agricultural economy and scenic marine and rural landscapes.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bindoy Target entity description: Bindoy is a coastal municipality in the province of Negros Oriental in the Philippines, known for its agricultural economy and scenic marine and rural landscapes.
-
A.
Baney
Baney is a small town and district capital located on Bioko Island in Equatorial Guinea.
-
B.
Daboll
Daboll is a surname most prominently associated with Brian Daboll, a professional American football coach in the National Football League.
-
C.
Lamon
Lamon is an archaeological site notable for inscriptions in the ancient Venetic language.
-
D.
Aldridge
Aldridge is an English-origin surname borne by various notable individuals in fields such as sports, entertainment, and the arts.
-
E.
Carmelo
Carmelo is a masculine given name most prominently associated with former NBA star Carmelo Anthony.
- 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.