Triple
T30091596
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tepa |
E764747
|
entity |
| Predicate | hasRelatedState |
P3520
|
FINISHED |
| Object | State of Jalisco |
—
|
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 Jalisco | Statement: [Tepa, hasRelatedState, State of Jalisco]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRelatedState Context triple: [Tepa, hasRelatedState, State of Jalisco]
-
A.
hasStateOf
Indicates that an entity possesses, exhibits, or is currently in a particular condition, status, or mode.
-
B.
hasRelatedResult
Indicates that one entity has an associated outcome, effect, or result that is meaningfully connected to it.
-
C.
hasRelation
Indicates that there exists some specified relationship or association between two entities.
-
D.
hasStateBranch
Indicates that one entity functions as a branch, subdivision, or local office of a larger parent entity within a particular state or regional jurisdiction.
-
E.
associatedState
chosen
Indicates that one entity is linked or connected to a particular state, condition, or status of another entity.
- 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_69f22473c0fc8190a926a8051b3b378b |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_6a00532815c881908f10d9594458b3d7 |
completed | May 10, 2026, 9:43 a.m. |
| PD | Predicate disambiguation | batch_6a0052b9f030819081b8105bdcaf6d8f |
completed | May 10, 2026, 9:41 a.m. |
Created at: April 29, 2026, 7:06 p.m.