Triple
T30166599
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ricardo Gallardo Cardona |
E766809
|
entity |
| Predicate | stateOfCountry |
P115061
|
FINISHED |
| Object | San Luis Potosí |
—
|
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: San Luis Potosí | Statement: [Ricardo Gallardo Cardona, stateOfCountry, San Luis Potosí]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: stateOfCountry Context triple: [Ricardo Gallardo Cardona, stateOfCountry, San Luis Potosí]
-
A.
stateOrRegion
chosen
Indicates that one entity is a state or region in which the other entity is located or with which it is associated.
-
B.
countryStatus
Indicates the political or legal condition of a country, such as its sovereignty, recognition, or current state in international or domestic contexts.
-
C.
statehoodStatus
Indicates the legal or political condition of an entity regarding whether, how, or to what extent it is recognized or functions as a state.
-
D.
stateOrTerritory
Indicates that one entity is a state or territory that is politically or administratively associated with another entity.
-
E.
stateName
Indicates that an entity is identified by or associated with a particular state’s name.
- 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_69f2247a968881909d79c18f2bfcb275 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69fd0b92f42881908cd77e3f058adcc2 |
completed | May 7, 2026, 10 p.m. |
| PD | Predicate disambiguation | batch_69fd0a3d68d4819094d92040f7c48d7c |
completed | May 7, 2026, 9:55 p.m. |
Created at: April 29, 2026, 7:23 p.m.