Triple
T4476209
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wilton Rancheria |
E100014
|
entity |
| Predicate | lostFederalRecognitionInYear |
P56772
|
FINISHED |
| Object | 1959 |
—
|
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: 1959 | Statement: [Wilton Rancheria, lostFederalRecognitionInYear, 1959]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lostFederalRecognitionInYear Context triple: [Wilton Rancheria, lostFederalRecognitionInYear, 1959]
-
A.
UNRecognitionYear
Indicates the year in which an entity was officially recognized by the United Nations.
-
B.
expulsionYear
Indicates the year in which an entity was formally expelled or removed from a group, institution, or place.
-
C.
reclassificationYear
Indicates the year in which something was reassigned to a different category, status, or classification.
-
D.
withdrewFromGovernmentYear
Indicates the year in which an entity ceased participating in or formally left a government.
-
E.
ceasedToBeOfficialOrganOf
Indicates that an entity stopped serving as the official organ or representative body of another entity.
- 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_69b34553cbe48190afa8ac1cac285b86 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b35728ed508190ba0e882fa62d8848 |
completed | March 13, 2026, 12:15 a.m. |
| PD | Predicate disambiguation | batch_69b3563d63008190816e37027e761375 |
completed | March 13, 2026, 12:11 a.m. |
| PDg | Predicate description generation | batch_69b35727a8ac819090420bd3e2cfbcf1 |
completed | March 13, 2026, 12:15 a.m. |
Created at: March 12, 2026, 11:35 p.m.