Triple
T19033445
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Fantasticks |
E465801
|
entity |
| Predicate | targetVenueScale |
P133638
|
FINISHED |
| Object | small theatres |
—
|
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: small theatres | Statement: [The Fantasticks, targetVenueScale, small theatres]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: targetVenueScale Context triple: [The Fantasticks, targetVenueScale, small theatres]
-
A.
isRegularVenueFor
Indicates that a location is commonly or routinely used as the venue for a particular event, activity, or entity’s gatherings.
-
B.
servesVenue
Indicates that an entity provides services or functions in support of a particular venue.
-
C.
featuresVenue
Indicates that one entity includes, hosts, or is associated with a particular venue as part of its offering or context.
-
D.
isVenueWithin
Indicates that one venue is geographically located inside the boundaries or area of another place or region.
-
E.
areaScale
Indicates a proportional relationship where one area value is a scaled (enlarged or reduced) version of another by a specific factor.
- F. None of above. chosen
Provenance (4 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_69d8dd0359648190bc2a9202c5cf29d2 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d741cabc8190900e12265ad269f8 |
completed | April 20, 2026, 7:35 a.m. |
| PD | Predicate disambiguation | batch_69e4a3001e388190aa6057266514e75a |
completed | April 19, 2026, 9:40 a.m. |
| PDg | Predicate description generation | batch_69e4ad8f6f7c8190af645bf08823ee2b |
completed | April 19, 2026, 10:25 a.m. |
Created at: April 10, 2026, 12:02 p.m.