Triple
T31032155
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Liberation Army (ELN) |
E790755
|
entity |
| Predicate | hasReligionComponent |
P27867
|
FINISHED |
| Object | influenced by liberation theology |
—
|
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: influenced by liberation theology | Statement: [National Liberation Army (ELN), hasReligionComponent, influenced by liberation theology]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasReligionComponent Context triple: [National Liberation Army (ELN), hasReligionComponent, influenced by liberation theology]
-
A.
hasAssociatedReligion
chosen
Indicates that an entity is connected with or linked to a particular religion.
-
B.
hasReligious
Indicates that an entity is associated with, practices, or adheres to a particular religion or religious affiliation.
-
C.
hasReligiousType
Indicates that an entity is associated with or classified under a particular religion or religious category.
-
D.
hasReligionDomain
Indicates that an entity is associated with, operates within, or pertains to a particular religious domain or sphere.
-
E.
hasMainReligionContext
Indicates that one entity serves as the primary religious context, tradition, or framework associated with another entity.
- 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_69f224c97a788190b5da1ead6038a74e |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_6a00c8e617548190bba4cdfbb6f512e0 |
completed | May 10, 2026, 6:05 p.m. |
| PD | Predicate disambiguation | batch_6a00c7e816b88190bd40f5ea2a768c8b |
completed | May 10, 2026, 6:01 p.m. |
Created at: April 29, 2026, 8:59 p.m.