Triple
T13895034
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sambalpur Municipal Corporation |
E334064
|
entity |
| Predicate | hasPoliticalHeadTitle |
P1900
|
FINISHED |
| Object | Mayor |
—
|
LITERAL FINISHED |
How this triple was built (2 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: Mayor | Statement: [Sambalpur Municipal Corporation, hasPoliticalHeadTitle, Mayor]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPoliticalHeadTitle Context triple: [Sambalpur Municipal Corporation, hasPoliticalHeadTitle, Mayor]
-
A.
headOfGovernmentTitle
Indicates the official title held by the person who serves as the head of a government.
-
B.
civilianLeaderTitle
chosen
Indicates the official title held by a person who serves as the civilian leader of a group, organization, or jurisdiction.
-
C.
headOfStateTitle
Indicates the official title held by the person who serves as the head of state of a country or political entity.
-
D.
hasLegislativeBodyTitle
Indicates the official title or designation used for the legislative body associated with an entity.
-
E.
hasExecutiveHeadTitle
Indicates the official job title held by the person who serves as the executive head of an organization or entity.
- F. None of above.
Provenance (3 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_69d81c5dd2d48190b7a5fc1e009de936 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de23a741908190bdf46d76c5f1411a |
completed | April 14, 2026, 11:23 a.m. |
| PD | Predicate disambiguation | batch_69dd464b1ab48190ae50bfc902bf6ef7 |
completed | April 13, 2026, 7:38 p.m. |
Created at: April 9, 2026, 10:15 p.m.