Triple
T7252338
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | International Manufacturing Technology Show |
E157632
|
entity |
| Predicate | typicalExhibitCategories |
P54449
|
FINISHED |
| Object | metal cutting |
—
|
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: metal cutting | Statement: [International Manufacturing Technology Show, typicalExhibitCategories, metal cutting]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalExhibitCategories Context triple: [International Manufacturing Technology Show, typicalExhibitCategories, metal cutting]
-
A.
exhibitionType
Indicates the specific category or kind of exhibition associated with an entity (e.g., art show, trade fair, scientific exhibit).
-
B.
hasExhibitCategory
chosen
Indicates that an exhibit is associated with a particular category or type of exhibit.
-
C.
exhibitTheme
Indicates that something (such as a work, event, or presentation) presents, embodies, or is organized around a particular theme.
-
D.
exhibitionGalleries
Indicates that an exhibition is displayed or hosted in one or more specific galleries.
-
E.
exhibitionMedium
Indicates the material or format through which something is exhibited or displayed.
- 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_69c6882d81d4819085f7ff862951ee4f |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6ea7ae0e48190bd80c91bad1976c6 |
completed | March 27, 2026, 8:37 p.m. |
| PD | Predicate disambiguation | batch_69c6e7666ffc81908bf643d8257e6337 |
completed | March 27, 2026, 8:24 p.m. |
Created at: March 27, 2026, 2:56 p.m.