Triple
T9301312
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hilton Tower |
E223766
|
entity |
| Predicate | hasCantilever |
P87951
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Hilton Tower, hasCantilever, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCantilever Context triple: [Hilton Tower, hasCantilever, yes]
-
A.
hasBalustrades
Indicates that one entity features or is equipped with balustrades as part of its structure or design.
-
B.
hasTopConstruction
Indicates that one entity serves as the uppermost structural element or construction positioned on top of another entity.
-
C.
hasCanopy
Indicates that one entity possesses or is characterized by a canopy associated with it.
-
D.
hasMezzanine
Indicates that one entity includes or is equipped with a mezzanine level in relation to another entity.
-
E.
hasCrane
Indicates that an entity possesses, includes, or is equipped with a crane.
- 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_69ca8423edb08190bc0c91287a484768 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd08d1d954819098be177addafa406 |
completed | April 1, 2026, noon |
| PD | Predicate disambiguation | batch_69cc7a5ef1908190bc5ca166bb895af6 |
completed | April 1, 2026, 1:52 a.m. |
| PDg | Predicate description generation | batch_69cc95597be081908ece2491dd2f0f74 |
completed | April 1, 2026, 3:47 a.m. |
Created at: March 30, 2026, 7:36 p.m.