Triple
T1107017
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Droupadi Murmu |
E25507
|
entity |
| Predicate | servedAsGovernorTo |
P1827
|
FINISHED |
| Object | 2021-07-12 |
—
|
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: 2021-07-12 | Statement: [Droupadi Murmu, servedAsGovernorTo, 2021-07-12]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: servedAsGovernorTo Context triple: [Droupadi Murmu, servedAsGovernorTo, 2021-07-12]
-
A.
hadGovernor
Indicates that an administrative region or political entity was governed by a specific person who held the office of governor.
-
B.
notableGovernor
Indicates that an individual has served as a governor in a way considered historically or socially significant.
-
C.
currentGovernor
Indicates that one entity is the person who presently holds the office of governor of the other entity.
-
D.
servedAs
chosen
Indicates that one entity held and performed the role, position, or function associated with another entity for some period of time.
-
E.
servedAsStateCapitalFrom
Indicates that one place functioned as the official state capital of a political entity during a specified time period.
- 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_69a49428d4448190b3b36991ceae87ce |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4b9e47e4881908928900df72781f0 |
completed | March 1, 2026, 10:12 p.m. |
| PD | Predicate disambiguation | batch_69a4b74877748190b78cd8847ee4fa7a |
completed | March 1, 2026, 10:01 p.m. |
Created at: March 1, 2026, 7:43 p.m.