Triple
T19371672
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | William Larrabee |
E484552
|
entity |
| Predicate | yearMovedToIowa |
P135686
|
FINISHED |
| Object | 1850s |
—
|
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: 1850s | Statement: [William Larrabee, yearMovedToIowa, 1850s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: yearMovedToIowa Context triple: [William Larrabee, yearMovedToIowa, 1850s]
-
A.
relocatedToWashingtonYear
Indicates the year in which an entity moved or was transferred to Washington as its new location.
-
B.
relocationYearToTulsa
Indicates the year in which an entity moved or was relocated to Tulsa.
-
C.
settledInYear
Indicates the specific calendar year in which an entity became established, inhabited, or formally settled in a particular place or status.
-
D.
relocationYearToSwiftCurrent
Indicates the year in which something was moved or transitioned to the current version of Swift.
-
E.
emigratedToState
Indicates that a person or group moved from their previous country or region to take up residence in a specified state.
- F. None of above. chosen
Provenance (4 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_69d8e8d305088190ad13571532aa454c |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e619b09ef08190a8b420316c0b8eb3 |
completed | April 20, 2026, 12:18 p.m. |
| PD | Predicate disambiguation | batch_69e4fd54f8e48190956e73dd8969164a |
completed | April 19, 2026, 4:05 p.m. |
| PDg | Predicate description generation | batch_69e5004c23308190a087b7941a90725f |
completed | April 19, 2026, 4:18 p.m. |
Created at: April 10, 2026, 1:35 p.m.