Triple
T9546386
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cattaraugus Creek |
E230298
|
entity |
| Predicate | hasTroutFishery |
P45992
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Cattaraugus Creek, hasTroutFishery, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTroutFishery Context triple: [Cattaraugus Creek, hasTroutFishery, yes]
-
A.
hasFishingSpecies
chosen
Indicates that a location, body of water, or fishing area supports or contains one or more specific species that can be fished there.
-
B.
containsFishery
Indicates that one entity includes, encompasses, or has within its area a fishery or fishing-related operation.
-
C.
hasFishingSeason
Indicates that there is a defined time period during which fishing for a particular resource or in a particular area is permitted or regulated.
-
D.
containsFishpond
Indicates that one entity includes or has within its boundaries a fishpond.
-
E.
hasFreshwaterLake
Indicates that one entity possesses, contains, or is associated with a freshwater lake.
- 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_69ca847c70b8819088a0a0bad64a50d6 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9902fca081909125660ae6336d3f |
completed | April 1, 2026, 10:15 p.m. |
| PD | Predicate disambiguation | batch_69ccd58bd21881908b860e3ee469af13 |
completed | April 1, 2026, 8:21 a.m. |
Created at: March 30, 2026, 8:02 p.m.