Triple
T738796
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chihuahua |
E14995
|
entity |
| Predicate | federalEntityType |
P1566
|
FINISHED |
| Object | estado |
—
|
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: estado | Statement: [Chihuahua, federalEntityType, estado]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: federalEntityType Context triple: [Chihuahua, federalEntityType, estado]
-
A.
federalEntityInvolved
Indicates that a federal-level government body or authority is involved in, associated with, or has jurisdiction over the referenced action or relationship.
-
B.
locatedInFederalEntity
Indicates that one entity is geographically or administratively situated within the jurisdiction or boundaries of a specified federal entity.
-
C.
documentedEntityType
Indicates that an entity has been documented as belonging to a specific type or category.
-
D.
federalDivision
chosen
Indicates that one entity is a federal-level administrative or political subdivision (such as a state, province, or territory) within the jurisdiction of another entity.
-
E.
federation
Indicates that an entity is formally associated with, governed by, or part of a larger federated organization or system.
- 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_69a4934d9930819099eed80096b0597d |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a64adf2c81908e48090be35dd9d9 |
completed | March 1, 2026, 8:49 p.m. |
| PD | Predicate disambiguation | batch_69a4a4fc734c81908fbd36386d5746d6 |
completed | March 1, 2026, 8:43 p.m. |
Created at: March 1, 2026, 7:37 p.m.