Triple
T5265083
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Las Vegas Aces |
E118918
|
entity |
| Predicate | relocationYearToLasVegas |
P27085
|
FINISHED |
| Object | 2018 |
—
|
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: 2018 | Statement: [Las Vegas Aces, relocationYearToLasVegas, 2018]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relocationYearToLasVegas Context triple: [Las Vegas Aces, relocationYearToLasVegas, 2018]
-
A.
relocationToLasVegasYear
chosen
Indicates the year in which an entity relocated to Las Vegas.
-
B.
relocationYear
Indicates the year in which an entity was moved or transferred from one location to another.
-
C.
relocationToHouston
Indicates a change of location in which an entity moves or is transferred to Houston as its new place of residence or operation.
-
D.
relocatedDuring
Indicates that an entity changed its location or place of residence within the time span of a specified event or period.
-
E.
relocatedToWashingtonYear
Indicates the year in which an entity moved or was transferred to Washington as its new location.
- 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_69bd446a42c88190b7ecbef006561d55 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7d5a23908190a24e79d1b29d6fcf |
completed | March 20, 2026, 5:01 p.m. |
| PD | Predicate disambiguation | batch_69bd77c71268819094f9f5203eed392d |
completed | March 20, 2026, 4:37 p.m. |
Created at: March 20, 2026, 1:51 p.m.