Triple
T9232633
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Great Swamp (southeastern New York) |
E221854
|
entity |
| Predicate | offersRecreationalActivity |
P1983
|
FINISHED |
| Object | birdwatching |
—
|
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: birdwatching | Statement: [Great Swamp (southeastern New York), offersRecreationalActivity, birdwatching]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: offersRecreationalActivity Context triple: [Great Swamp (southeastern New York), offersRecreationalActivity, birdwatching]
-
A.
offersAttraction
Indicates that one entity provides or presents an attraction, such as an activity, feature, or point of interest, to another entity or audience.
-
B.
offersDayPlacesTo
Indicates that one entity provides or makes available daytime places or slots to another entity.
-
C.
offersDayPlaces
Indicates that an entity provides or makes available daytime places or slots (e.g., for care, activities, or services) to others.
-
D.
hasRecreationActivity
Indicates that an entity provides, includes, or is associated with a particular recreational activity.
-
E.
offersActivity
chosen
Indicates that one entity provides or makes available a specific activity for another entity to participate in or use.
- 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_69ca83ed628c8190bc02d641e57f097f |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccee1a7e9881908e0c11f242162017 |
completed | April 1, 2026, 10:06 a.m. |
| PD | Predicate disambiguation | batch_69cc7a3daeb481908b0abde3fbc1f1f0 |
completed | April 1, 2026, 1:51 a.m. |
Created at: March 30, 2026, 7:29 p.m.