Triple
T2566597
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Capiz |
E57364
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object |
Sigma
Sigma is a rural municipality in the province of Capiz in the Western Visayas region of the Philippines, known for its agricultural economy and small-town character.
|
E279152
|
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: Sigma | Statement: [Capiz, hasMunicipality, Sigma]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sigma Context triple: [Capiz, hasMunicipality, Sigma]
-
A.
Sus
Sus is a genus of mammals in the pig family that includes domestic pigs and several species of wild boar.
-
B.
Sununu
Sununu is a prominent American political family name most notably associated with former New Hampshire Governor and White House Chief of Staff John H. Sununu and his son, Governor Chris Sununu.
-
C.
Sis
Sis was the medieval capital city of the Armenian Kingdom of Cilicia, serving as its political and cultural center.
-
D.
SIG
SIG is the public utility company of Geneva, Switzerland, responsible for providing services such as electricity, gas, water, and energy solutions to the region.
-
E.
SIG
SIG is an acronym commonly used by the Association for Computing Machinery to denote its specialized Special Interest Groups that focus on particular areas of computing research and practice.
- 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: Sigma Triple: [Capiz, hasMunicipality, Sigma]
Generated description
Sigma is a rural municipality in the province of Capiz in the Western Visayas region of the Philippines, known for its agricultural economy and small-town character.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sigma Target entity description: Sigma is a rural municipality in the province of Capiz in the Western Visayas region of the Philippines, known for its agricultural economy and small-town character.
-
A.
Sus
Sus is a genus of mammals in the pig family that includes domestic pigs and several species of wild boar.
-
B.
Sununu
Sununu is a prominent American political family name most notably associated with former New Hampshire Governor and White House Chief of Staff John H. Sununu and his son, Governor Chris Sununu.
-
C.
Sis
Sis was the medieval capital city of the Armenian Kingdom of Cilicia, serving as its political and cultural center.
-
D.
SIG
SIG is the public utility company of Geneva, Switzerland, responsible for providing services such as electricity, gas, water, and energy solutions to the region.
-
E.
SIG
SIG is an acronym commonly used by the Association for Computing Machinery to denote its specialized Special Interest Groups that focus on particular areas of computing research and practice.
- 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_69ab4a4ef9008190a0e6d4422b9418b7 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd3602ed08190aad0f9c7ac577eb0 |
completed | March 7, 2026, 7:27 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af6565e05081909dc12aa3240de5f2 |
completed | March 10, 2026, 12:27 a.m. |
| NEDg | Description generation | batch_69af667c6b008190b3960f29f5e07653 |
completed | March 10, 2026, 12:31 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69af6740cd2c8190a76309238340bd22 |
completed | March 10, 2026, 12:35 a.m. |
Created at: March 6, 2026, 9:48 p.m.