Triple
T34436182
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Islas Marías |
E883960
|
entity |
| Predicate | countryPrisonAuthority |
P203268
|
FINISHED |
| Object | Government of Mexico |
—
|
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: Government of Mexico | Statement: [Islas Marías, countryPrisonAuthority, Government of Mexico]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countryPrisonAuthority Context triple: [Islas Marías, countryPrisonAuthority, Government of Mexico]
-
A.
countryPrisonSystem
Indicates a relationship where a country has, administers, or is associated with a particular prison system.
-
B.
countryOfImprisonment
Indicates the country in which a person or entity is or was imprisoned.
-
C.
prisonLocatedIn
Indicates that a prison is situated within or at a specific geographic or administrative location.
-
D.
countryOfConviction
Indicates the country in which a person or entity was legally convicted of an offense.
-
E.
countryOfCustody
Indicates that one entity is the country responsible for the legal custody, control, or detention of another entity.
- 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_69f349c548d88190978e2a82502c03d0 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_6a0144c75aec81908bdd9e88f2af737a |
completed | May 11, 2026, 2:53 a.m. |
| PD | Predicate disambiguation | batch_6a014405a2d48190a1d58b0b907ad696 |
completed | May 11, 2026, 2:50 a.m. |
| PDg | Predicate description generation | batch_6a0144c6bd20819093562eb03dc5b2c8 |
completed | May 11, 2026, 2:53 a.m. |
Created at: May 1, 2026, 2 a.m.