Triple
T1569749
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pigeon Lake Wilderness Area |
E33510
|
entity |
| Predicate | fishing |
P26495
|
FINISHED |
| Object | allowed under New York State fishing regulations |
—
|
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: allowed under New York State fishing regulations | Statement: [Pigeon Lake Wilderness Area, fishing, allowed under New York State fishing regulations]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fishing Context triple: [Pigeon Lake Wilderness Area, fishing, allowed under New York State fishing regulations]
-
A.
fishingActivity
chosen
Indicates an activity where an entity engages in catching or attempting to catch fish or other aquatic organisms.
-
B.
fishFamily
Indicates that one entity is a member of the same biological family (taxonomic family) of fishes as the other entity.
-
C.
stateFish
Indicates that an entity is a fish that serves as the official state fish of a particular political region.
-
D.
hauls
Indicates that one entity pulls, drags, or transports another entity, typically involving effort or force over a distance.
-
E.
catches
Indicates that one entity successfully seizes, intercepts, or takes hold of another entity, often stopping its motion or preventing its escape.
- 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_69a885f11b048190935025a035302715 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a96083e7308190abbf025fe8e43abb |
completed | March 5, 2026, 10:52 a.m. |
| PD | Predicate disambiguation | batch_69a907ba63c88190b60c14dec8d1e40f |
completed | March 5, 2026, 4:34 a.m. |
Created at: March 4, 2026, 7:27 p.m.