Triple
T4642286
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wilshire Grand Center |
E101680
|
entity |
| Predicate | formerSiteUse |
P55864
|
FINISHED |
| Object | hotel |
—
|
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: hotel | Statement: [Wilshire Grand Center, formerSiteUse, hotel]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: formerSiteUse Context triple: [Wilshire Grand Center, formerSiteUse, hotel]
-
A.
previousBuildingUse
chosen
Indicates that a building previously served a specified use or function before its current one.
-
B.
formerSiteOf
Indicates that a location previously hosted or contained something (such as a structure, organization, or event) that is no longer present there.
-
C.
formerLandUse
Indicates the type of land use that characterized a location prior to its current or present use.
-
D.
formerHabitat
Indicates that a location once served as a habitat for an entity but no longer does.
-
E.
currentSiteUse
Indicates how a site is presently being used or the function it currently serves.
- 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_69bd43d3bc7c81908f81fcf380476b0f |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd5a93047c8190990c94fd5a57c867 |
completed | March 20, 2026, 2:32 p.m. |
| PD | Predicate disambiguation | batch_69bd5234d24c819095c79890b70eff9a |
completed | March 20, 2026, 1:57 p.m. |
Created at: March 20, 2026, 1:14 p.m.