Triple
T29165983
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Osage County |
E739318
|
entity |
| Predicate | hasSignificantPresenceOf |
P11111
|
FINISHED |
| Object | Osage Nation |
E50110
|
NE 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: Osage Nation | Statement: [Osage County, hasSignificantPresenceOf, Osage Nation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSignificantPresenceOf Context triple: [Osage County, hasSignificantPresenceOf, Osage Nation]
-
A.
hasLargePresenceIn
chosen
Indicates that an entity maintains a significant or dominant level of activity, influence, or representation within a specified location, domain, or context.
-
B.
hasSignificant
Indicates that one entity possesses or exhibits a level of importance, impact, or relevance that is notably large or meaningful in relation to another entity or context.
-
C.
hasMinorPresenceIn
Indicates that an entity is present or active in a location, context, or domain, but only to a small or limited extent.
-
D.
meetsInPresenceOf
Indicates that two or more entities meet or interact while another specified entity is present as a witness, chaperone, or contextual participant.
-
E.
hasHumanPresence
Indicates that humans are physically present in or occupying a given location, object, or context.
- F. None of above.
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_69f07cb6394c8190ab7842c48e699e2a |
completed | April 28, 2026, 9:24 a.m. |
| NER | Named-entity recognition | batch_69f7516d5b4081908588a6feb541f355 |
completed | May 3, 2026, 1:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a273205bf588190b157d9609eb2dd2d |
completed | June 8, 2026, 9:20 p.m. |
| PD | Predicate disambiguation | batch_69f74d40ebb081909daf60623e38f41d |
completed | May 3, 2026, 1:27 p.m. |
Created at: April 28, 2026, 11:50 a.m.