Triple
T9492227
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mexican conservative party |
E228917
|
entity |
| Predicate | usedReligionAs |
P76551
|
FINISHED |
| Object | basis of political legitimacy |
—
|
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: basis of political legitimacy | Statement: [Mexican conservative party, usedReligionAs, basis of political legitimacy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedReligionAs Context triple: [Mexican conservative party, usedReligionAs, basis of political legitimacy]
-
A.
usedReligionFor
chosen
Indicates that an entity employed religion as a means or tool to achieve some purpose, goal, or effect.
-
B.
isUsedByReligion
Indicates that something (such as an object, practice, text, or symbol) is employed or utilized within the context of a particular religion.
-
C.
subjectReligion
Indicates that the subject is associated with, practices, or adheres to a particular religion.
-
D.
influencedByReligion
Indicates that an entity’s characteristics, decisions, or development are shaped or affected by religious beliefs, practices, or institutions.
-
E.
religionOrBelief
Indicates that one entity holds, practices, or is associated with a particular religion, faith, or belief system.
- 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_69ca847424f081908180305555139f7a |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd80ca26bc819084add20027aea4a5 |
completed | April 1, 2026, 8:32 p.m. |
| PD | Predicate disambiguation | batch_69cca5651a588190a3cfebe249a223e5 |
completed | April 1, 2026, 4:56 a.m. |
Created at: March 30, 2026, 7:56 p.m.