Triple
T36827223
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Guadalupe Victoria |
E910042
|
entity |
| Predicate | roleInMexico |
P203640
|
FINISHED |
| Object | first President of Mexico |
—
|
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: first President of Mexico | Statement: [Guadalupe Victoria, roleInMexico, first President of Mexico]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInMexico Context triple: [Guadalupe Victoria, roleInMexico, first President of Mexico]
-
A.
roleInPeru
Indicates that an entity holds or has held an official or notable role, position, or function within the country of Peru.
-
B.
roleInColombia
Indicates that an entity holds or has held a specific role, position, or function within the context of Colombia.
-
C.
roleInBrazil
Indicates that an entity holds or held a specific role, position, or function within the context of Brazil.
-
D.
roleInPhilippines
Indicates that an entity holds or has held an official or notable role, position, or function within the Philippines.
-
E.
roleInSingapore
Indicates that an entity holds or has held a specific role, position, or function within the context of Singapore.
- 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_69f76e7e9d60819092442fba73290a46 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_6a01bb06422c819095bb42f6f3a0e801 |
completed | May 11, 2026, 11:18 a.m. |
| PD | Predicate disambiguation | batch_6a01b9991c348190ac49b65ea2fd86ed |
completed | May 11, 2026, 11:12 a.m. |
| PDg | Predicate description generation | batch_6a01bb0584608190a27ad07f095ea7fd |
completed | May 11, 2026, 11:18 a.m. |
Created at: May 3, 2026, 4:13 p.m.