Triple
T3877220
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cayuga |
E92530
|
entity |
| Predicate | historicallyEngagedIn |
P7685
|
FINISHED |
| Object | Agriculture |
—
|
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: Agriculture | Statement: [Cayuga, historicallyEngagedIn, Agriculture]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: historicallyEngagedIn Context triple: [Cayuga, historicallyEngagedIn, Agriculture]
-
A.
historicallyActiveIn
chosen
Indicates that an entity was active or engaged in significant activities within a particular place or context during a past historical period.
-
B.
historicallyResponsibleFor
Indicates that an entity bears responsibility, typically recognized in historical analysis, for causing, contributing to, or being accountable for a past event, condition, or outcome.
-
C.
historicallyAttendedBy
Indicates that an entity has been attended by another entity at some point in the past, rather than in the present.
-
D.
hasHistoricalEvent
Indicates that a historical event occurred in, is associated with, or is relevant to a particular entity.
-
E.
historicallyIn
Indicates that one entity existed, occurred, or was situated within the historical context, period, or jurisdiction associated with another 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_69aed967448c819086c4b358d37b25aa |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aef1515c688190a38332aedeed8a76 |
completed | March 9, 2026, 4:12 p.m. |
| PD | Predicate disambiguation | batch_69aee7574c408190893e70bf80514838 |
completed | March 9, 2026, 3:29 p.m. |
Created at: March 9, 2026, 3:20 p.m.