Triple
T22420022
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gasoline Alley Museum |
E554220
|
entity |
| Predicate | hasFamilyFriendlyActivities |
P971
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Gasoline Alley Museum, hasFamilyFriendlyActivities, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFamilyFriendlyActivities Context triple: [Gasoline Alley Museum, hasFamilyFriendlyActivities, true]
-
A.
hasRecreationActivity
chosen
Indicates that an entity provides, includes, or is associated with a particular recreational activity.
-
B.
hasRecreationalOrganization
Indicates that an entity is associated with, or hosts, a recreational organization such as a club, team, or leisure group.
-
C.
possiblePlaceOfActivity
Indicates that a location is a plausible or candidate site where the referenced entity may carry out or have carried out an activity.
-
D.
hostsActivitiesOf
Indicates that one entity provides the venue, context, or platform in which the activities of another entity take place.
-
E.
hasRecreationFacility
Indicates that one entity provides, contains, or is equipped with a recreational facility for use by another entity or by the public.
- 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_69e11e4f2d0c819091aa3558ea2ee630 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f1594a58508190b41fd16c8de5f8b4 |
completed | April 29, 2026, 1:05 a.m. |
| PD | Predicate disambiguation | batch_69e8989495bc81909d2699fce5992e28 |
completed | April 22, 2026, 9:44 a.m. |
Created at: April 16, 2026, 8:46 p.m.