Triple
T23082017
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wheatland County |
E575499
|
entity |
| Predicate | hasReeve |
P2308
|
FINISHED |
| Object | reeve of Wheatland County |
—
|
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: reeve of Wheatland County | Statement: [Wheatland County, hasReeve, reeve of Wheatland County]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasReeve Context triple: [Wheatland County, hasReeve, reeve of Wheatland County]
-
A.
hasPerson
chosen
Indicates that an entity is associated with or includes a specific person.
-
B.
hasReunion
Indicates that a reunion event or gathering occurs between the related entities.
-
C.
hasReach
Indicates that one entity is able to extend its influence, access, or physical span to another entity or area.
-
D.
hasAct
Indicates that an entity performs, participates in, or is associated with a specific act or action.
-
E.
hasReception
Indicates that an entity hosts, includes, or is associated with a reception event (such as a formal gathering or welcoming function).
- 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_69e245be28d48190ad1348d5a73db37d |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f18da239e48190ad041261c6b510a0 |
completed | April 29, 2026, 4:48 a.m. |
| PD | Predicate disambiguation | batch_69ef89e5ce748190b2c3ac3843484127 |
completed | April 27, 2026, 4:08 p.m. |
Created at: April 17, 2026, 3:56 p.m.