Triple
T463410
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TCL Chinese Theatre |
E7390
|
entity |
| Predicate | hasOutdoorArea |
P8618
|
FINISHED |
| Object | forecourt |
—
|
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: forecourt | Statement: [TCL Chinese Theatre, hasOutdoorArea, forecourt]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOutdoorArea Context triple: [TCL Chinese Theatre, hasOutdoorArea, forecourt]
-
A.
isOutdoorFacility
Indicates that a facility is located outdoors or primarily functions in an open-air environment.
-
B.
hasRecreationalArea
Indicates that an entity includes, provides, or is associated with a designated space intended for leisure or recreational activities.
-
C.
isOutdoor
chosen
Indicates that an entity or activity takes place outside, in an open-air or non-enclosed environment.
-
D.
hasBalcony
Indicates that a building or dwelling includes a balcony as part of its structure or features.
-
E.
hasCourtyard
Indicates that one entity includes, features, or is characterized by the presence of a courtyard.
- 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_69a2e7e5c5bc8190a1dc8178218fba40 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2efc214788190a8dff20fec4412e0 |
completed | Feb. 28, 2026, 1:38 p.m. |
| PD | Predicate disambiguation | batch_69a2ede8eac081908dffade6a5e7950b |
completed | Feb. 28, 2026, 1:30 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.