Triple
T6011020
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | High Point Market |
E133828
|
entity |
| Predicate | exhibitSpaceType |
P10264
|
FINISHED |
| Object | showrooms |
—
|
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: showrooms | Statement: [High Point Market, exhibitSpaceType, showrooms]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: exhibitSpaceType Context triple: [High Point Market, exhibitSpaceType, showrooms]
-
A.
exhibitionSpaceType
chosen
Indicates the specific kind or category of space used to display or present exhibitions.
-
B.
exhibitionType
Indicates the specific category or kind of exhibition associated with an entity (e.g., art show, trade fair, scientific exhibit).
-
C.
performanceSpaceType
Indicates the specific kind or category of space in which a performance or event takes place.
-
D.
gallerySpace
Indicates that one entity serves as a gallery or exhibition space for displaying the other entity.
-
E.
hasExhibitionVenueType
Indicates the type or category of venue where an exhibition is held or presented.
- 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_69c0087361a48190905c6b55969852b8 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c04f4ffa008190a8ef701b82260219 |
completed | March 22, 2026, 8:21 p.m. |
| PD | Predicate disambiguation | batch_69c049e4daf4819099bf870dc700e0a2 |
completed | March 22, 2026, 7:58 p.m. |
Created at: March 22, 2026, 4:06 p.m.