Triple
T9162633
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Whiteaker |
E219862
|
entity |
| Predicate | yearMovedToOregon |
P1741
|
FINISHED |
| Object | 1852 |
—
|
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: 1852 | Statement: [John Whiteaker, yearMovedToOregon, 1852]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: yearMovedToOregon Context triple: [John Whiteaker, yearMovedToOregon, 1852]
-
A.
relocatedToWashingtonYear
Indicates the year in which an entity moved or was transferred to Washington as its new location.
-
B.
settledInYear
Indicates the specific calendar year in which an entity became established, inhabited, or formally settled in a particular place or status.
-
C.
migrationYearToSaltLakeValley
Indicates the specific year in which an entity migrated or arrived to the Salt Lake Valley.
-
D.
immigratedTo
Indicates that an entity moved from its country of origin to live permanently in another specified country or region.
-
E.
relocationYear
chosen
Indicates the year in which an entity was moved or transferred from one location to another.
- 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_69ca83e3633c81908688a9fa2306ba99 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccaa2c1a9881909b7100b6e436386d |
completed | April 1, 2026, 5:16 a.m. |
| PD | Predicate disambiguation | batch_69cc6605c6808190a30d92da006206ac |
completed | April 1, 2026, 12:25 a.m. |
Created at: March 30, 2026, 7:21 p.m.