Triple
T22228319
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Orlando StarFlyer |
E549401
|
entity |
| Predicate | locatedInEntertainmentDistrict |
P120961
|
FINISHED |
| Object | ICON Park Orlando vicinity |
—
|
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: ICON Park Orlando vicinity | Statement: [Orlando StarFlyer, locatedInEntertainmentDistrict, ICON Park Orlando vicinity]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: locatedInEntertainmentDistrict Context triple: [Orlando StarFlyer, locatedInEntertainmentDistrict, ICON Park Orlando vicinity]
-
A.
isEntertainmentDistrict
Indicates that a location functions primarily as an area dedicated to entertainment activities, venues, and nightlife.
-
B.
hasTheatreDistrictRole
Indicates that an entity holds a specific role, function, or designation within a theatre district.
-
C.
isLocatedInDistrictKnownFor
chosen
Indicates that an entity is situated within a district that is notably recognized for a particular characteristic, feature, or reputation.
-
D.
theaterDistrict
Indicates that a location is situated within or associated with a designated theater district.
-
E.
locatedIn
Indicates that one entity exists or is situated within the spatial, administrative, or conceptual boundaries of another entity.
- 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_69e11e403d6481909a94d0aaf157f6ef |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12bf0a03c8190ac4717cce902b2cd |
completed | April 28, 2026, 9:51 p.m. |
| PD | Predicate disambiguation | batch_69e71b5177d881908f90abde14ada7dc |
completed | April 21, 2026, 6:38 a.m. |
Created at: April 16, 2026, 8:37 p.m.