Triple
T28873108
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Glove Capital of the World |
E732185
|
entity |
| Predicate | denotesPastStatus |
P28623
|
FINISHED |
| Object | major global center of glove production |
—
|
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: major global center of glove production | Statement: [Glove Capital of the World, denotesPastStatus, major global center of glove production]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: denotesPastStatus Context triple: [Glove Capital of the World, denotesPastStatus, major global center of glove production]
-
A.
historicalStatusOf
chosen
Indicates the historical condition, role, or classification that an entity held during a specific past period or context.
-
B.
earlierStatus
Indicates that one status or condition occurred or was valid before another status in time.
-
C.
statusBefore2022
Indicates that an entity’s status or condition is defined as it existed prior to the year 2022.
-
D.
statusAtTime
Indicates that an entity has a particular status or condition at a specified point in time.
-
E.
previousStatusEndYear
Indicates the year in which the prior status or condition of an entity came to an end.
- 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_69f05b06807c81909b4bbd4c20403a2b |
completed | April 28, 2026, 7 a.m. |
| NER | Named-entity recognition | batch_69f6691f5e188190b12c7b2eb729a45e |
completed | May 2, 2026, 9:14 p.m. |
| PD | Predicate disambiguation | batch_69f6659b62fc8190b21555d0ba54db2d |
completed | May 2, 2026, 8:59 p.m. |
Created at: April 28, 2026, 7:34 a.m.