Triple
T37119972
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ute, Iowa |
E919218
|
entity |
| Predicate | belongsToStateEntity |
P201596
|
FINISHED |
| Object | State of Iowa |
—
|
NE NERFINISHED |
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: State of Iowa | Statement: [Ute, Iowa, belongsToStateEntity, State of Iowa]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: belongsToStateEntity Context triple: [Ute, Iowa, belongsToStateEntity, State of Iowa]
-
A.
belongsToCityState
Indicates that an entity is located within or associated with a specific city and state jurisdiction.
-
B.
belongsToNationState
Indicates that an entity is a member, part, or constituent of a specific nation-state, reflecting a formal or recognized association with that country.
-
C.
associatedState
Indicates that one entity is linked or connected to a particular state, condition, or status of another entity.
-
D.
belongsToRegistry
Indicates that an entity is officially recorded as part of a specific registry or registered collection.
-
E.
belongsToFeature
Indicates that one entity is a component, attribute, or part of a larger feature or functionality associated with 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_69f76e9c57148190ba789dd059645bb9 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_6a000a1d8fa88190a1d82ac746565c48 |
completed | May 10, 2026, 4:31 a.m. |
| PD | Predicate disambiguation | batch_6a0008b26eb88190ae03b2309a614774 |
completed | May 10, 2026, 4:25 a.m. |
| PDg | Predicate description generation | batch_6a000a1c8f8881908293ab4f7207d25f |
completed | May 10, 2026, 4:31 a.m. |
Created at: May 3, 2026, 4:15 p.m.