Triple
T25214381
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Herrington Manor State Park |
E631783
|
entity |
| Predicate | offersSummerActivity |
P1983
|
FINISHED |
| Object | swimming |
—
|
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: swimming | Statement: [Herrington Manor State Park, offersSummerActivity, swimming]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: offersSummerActivity Context triple: [Herrington Manor State Park, offersSummerActivity, swimming]
-
A.
offersActivity
chosen
Indicates that one entity provides or makes available a specific activity for another entity to participate in or use.
-
B.
offersEvent
Indicates that an entity provides or makes available a specific event.
-
C.
offersDayProgram
Indicates that an entity provides a structured program or service that takes place during daytime hours.
-
D.
hasSeasonalOffering
Indicates that an entity provides or features a special offering that is available only during a particular season or time of year.
-
E.
offersDayPlaces
Indicates that an entity provides or makes available daytime places or slots (e.g., for care, activities, or services) to others.
- 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_69f63fd6c68481908c542aa03e297b9c |
completed | May 2, 2026, 6:17 p.m. |
| PD | Predicate disambiguation | batch_69f63c6456608190b94e7c2e2c2a4824 |
completed | May 2, 2026, 6:03 p.m. |
Created at: April 21, 2026, 12:58 p.m.