Triple
T36772985
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mexican Army |
E908529
|
entity |
| Predicate | doctrineFor |
P47418
|
FINISHED |
| Object | civil protection and disaster relief |
—
|
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: civil protection and disaster relief | Statement: [Mexican Army, doctrineFor, civil protection and disaster relief]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: doctrineFor Context triple: [Mexican Army, doctrineFor, civil protection and disaster relief]
-
A.
doctrineOf
chosen
Indicates a relationship where one entity is the doctrinal teaching, principle, or belief system associated with, derived from, or formally held by another entity.
-
B.
doctrineBasisFor
Indicates that one doctrine serves as a foundational justification, support, or underlying basis for another doctrine or position.
-
C.
doctrineFormulatedIn
Indicates that a particular doctrine was created, articulated, or formally established during a specific time or at a specific place.
-
D.
doctrineRefined
Indicates that an existing doctrine has been further developed, clarified, or improved in its formulation or application.
-
E.
doctrineDiscussed
Indicates that a particular doctrine is the topic of discussion or analysis in a given context or interaction.
- 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_69f76e798aa08190ace31098d1b13e9f |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69f7c9f5a8848190ba956ff27f44e396 |
completed | May 3, 2026, 10:19 p.m. |
| PD | Predicate disambiguation | batch_69f7c8999a348190abc1895eaa6e036d |
completed | May 3, 2026, 10:13 p.m. |
Created at: May 3, 2026, 4:12 p.m.