Triple
T25214379
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Herrington Manor State Park |
E631783
|
entity |
| Predicate | offersWinterActivity |
P1983
|
FINISHED |
| Object | cross-country skiing |
—
|
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: cross-country skiing | Statement: [Herrington Manor State Park, offersWinterActivity, cross-country skiing]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: offersWinterActivity Context triple: [Herrington Manor State Park, offersWinterActivity, cross-country skiing]
-
A.
hasWinterActivitySeason
Indicates that an entity’s primary period for engaging in a particular activity occurs during the winter season.
-
B.
offersCatSkiing
Indicates that an entity provides cat skiing services or opportunities to others.
-
C.
hasWinterSports
Indicates that an entity offers, supports, or is associated with winter sports activities.
-
D.
hasWinterSportsSeason
Indicates that an entity participates in, is associated with, or has a defined period for winter sports activities or competitions.
-
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_69e75a8d1aa48190a4320acd3654762c |
completed | April 21, 2026, 11:07 a.m. |
| NER | Named-entity recognition | batch_69f6352fdb788190b9bad30243690743 |
completed | May 2, 2026, 5:32 p.m. |
| PD | Predicate disambiguation | batch_69f63182f1408190bddc1214fcbd6145 |
completed | May 2, 2026, 5:16 p.m. |
Created at: April 21, 2026, 12:58 p.m.