Triple
T11335185
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nagar Palika |
E268452
|
entity |
| Predicate | hasExecutiveOfficer |
P4012
|
FINISHED |
| Object | Chief Officer |
—
|
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: Chief Officer | Statement: [Nagar Palika, hasExecutiveOfficer, Chief Officer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasExecutiveOfficer Context triple: [Nagar Palika, hasExecutiveOfficer, Chief Officer]
-
A.
isOfficerOf
chosen
Indicates that one entity holds an official position, role, or office within another entity (such as an organization, group, or institution).
-
B.
haveExecutiveHead
Indicates that one entity serves as the executive leader or chief authority (e.g., CEO, president, head of government) of another entity.
-
C.
hasExecutiveAuthority
Indicates that one entity holds formal decision-making and managerial power over an organization, group, or process.
-
D.
hasOfficeHolderType
Indicates that an office or position is associated with a specific type or category of office holder (e.g., elected official, appointed official).
-
E.
hasExecutiveSeat
Indicates that an entity holds a position or seat with executive authority or decision-making power within an organization or governing body.
- 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_69d6aacb1f0881908c84a349fd1be047 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e9ff62c88190a089dd84e2ac1d17 |
completed | April 9, 2026, 6:03 p.m. |
| PD | Predicate disambiguation | batch_69d787afe5a48190b8af1a3e19529641 |
completed | April 9, 2026, 11:04 a.m. |
Created at: April 8, 2026, 9:33 p.m.