Triple
T3830233
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Palace of Transportation |
E90991
|
entity |
| Predicate | temporaryUse |
P4341
|
FINISHED |
| Object | world's fair exhibition |
—
|
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: world's fair exhibition | Statement: [Palace of Transportation, temporaryUse, world's fair exhibition]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: temporaryUse Context triple: [Palace of Transportation, temporaryUse, world's fair exhibition]
-
A.
isTemporary
Indicates that the relationship, state, or condition holds only for a limited or non-permanent duration.
-
B.
temporaryClosure
Indicates that an entity is closed or unavailable for a limited, non-permanent period of time.
-
C.
usedUntil
Indicates that something remained in use or operation up to a specified time or event, after which it was no longer used.
-
D.
temporaryHomeOf
Indicates that one entity serves as a non-permanent or interim place of residence or storage for another entity.
-
E.
usedDuring
chosen
Indicates that one entity is employed, applied, or active in the course of another entity’s process, event, or time period.
- 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_69aed960b538819096561c8ed448dec9 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeeb8459f881908a2c91bb07e381ef |
completed | March 9, 2026, 3:47 p.m. |
| PD | Predicate disambiguation | batch_69aee74c2e04819094b94b3c0bac1806 |
completed | March 9, 2026, 3:29 p.m. |
Created at: March 9, 2026, 3:17 p.m.