Triple
T27524957
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | San Cristóbal, Guanajuato |
E694807
|
entity |
| Predicate | hasNative |
P44783
|
FINISHED |
| Object | Vicente Fox |
—
|
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: Vicente Fox | Statement: [San Cristóbal, Guanajuato, hasNative, Vicente Fox]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNative Context triple: [San Cristóbal, Guanajuato, hasNative, Vicente Fox]
-
A.
hasNotableNative
chosen
Indicates that an entity is known for having a notable person, species, or element that originates from or is native to it.
-
B.
alsoNativeTo
Indicates that an entity is additionally native to another specified geographic region or habitat, beyond any primary place of origin already stated.
-
C.
notNativeTo
Indicates that an entity does not originate from, or is not naturally occurring in, a specified place or environment.
-
D.
hasFeature
Indicates that an entity possesses, exhibits, or includes a particular characteristic, attribute, or component.
-
E.
hasPrimitive
Indicates that an entity is composed of, defined by, or associated with one or more basic, indivisible components or elements.
- 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_69ef538550208190aa9de8e2cb260d93 |
completed | April 27, 2026, 12:16 p.m. |
| NER | Named-entity recognition | batch_69f7b0e5744c8190a22c1e1d6fcfa466 |
completed | May 3, 2026, 8:32 p.m. |
| PD | Predicate disambiguation | batch_69f7ab70d034819080295628497d8582 |
completed | May 3, 2026, 8:09 p.m. |
Created at: April 27, 2026, 1:23 p.m.