Triple
T2588893
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pullman Palace Car Company |
E58070
|
entity |
| Predicate | laborStrikeYear |
P376
|
FINISHED |
| Object | 1894 |
—
|
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: 1894 | Statement: [Pullman Palace Car Company, laborStrikeYear, 1894]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: laborStrikeYear Context triple: [Pullman Palace Car Company, laborStrikeYear, 1894]
-
A.
tradeYear
Indicates the specific calendar year in which a trade or commercial transaction took place or was recorded.
-
B.
claimedYear
Indicates the year that is asserted or reported as being associated with an event, status, or fact, regardless of whether it is verified.
-
C.
suppressionYear
Indicates the year in which the referenced activity, expression, or entity was formally suppressed, halted, or forcibly discontinued.
-
D.
year
chosen
Indicates the specific calendar year associated with an entity, event, or fact.
-
E.
previousWorkReleaseYear
Indicates the year in which an earlier or prior work in a sequence or related set was released.
- 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_69ab4ac019c8819094add11c46706e32 |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abd3fd1d608190a0cf0d12a9e6ce59 |
completed | March 7, 2026, 7:30 a.m. |
| PD | Predicate disambiguation | batch_69abd0d19308819089ee942513d567a4 |
completed | March 7, 2026, 7:16 a.m. |
Created at: March 6, 2026, 9:49 p.m.