Triple
T24338319
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Patil |
E613442
|
entity |
| Predicate | hasHistoricalMeaning |
P155766
|
FINISHED |
| Object | village headman |
—
|
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: village headman | Statement: [Patil, hasHistoricalMeaning, village headman]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHistoricalMeaning Context triple: [Patil, hasHistoricalMeaning, village headman]
-
A.
hasHistoricalSignificance
Indicates that something possesses notable importance or influence within a historical context or period.
-
B.
hasHistoricSignificanceFor
Indicates that something holds notable historical importance or relevance for a particular entity or group.
-
C.
hasHistoricalOrigin
Indicates that something originated, was first established, or came into existence during a specific historical period or context.
-
D.
hasHistoricalSignificanceThrough
Indicates that one entity possesses historical importance or relevance by means of, or as established through, its connection or association with another entity or event.
-
E.
hasHistoricalContext
Indicates that something is related to, influenced by, or best understood in light of specific past events, conditions, or time periods.
- F. None of above. chosen
Provenance (4 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_69e2d7dcc5a08190b53691130d56cbc4 |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f293225a58819082bba82ad445864f |
completed | April 29, 2026, 11:24 p.m. |
| PD | Predicate disambiguation | batch_69f287ad30048190b3ad3613486f277f |
completed | April 29, 2026, 10:35 p.m. |
| PDg | Predicate description generation | batch_69f28b7ff1808190870dfe9af789a1eb |
completed | April 29, 2026, 10:51 p.m. |
Created at: April 18, 2026, 1:57 a.m.