Triple
T25827737
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Banu Adam |
E650578
|
entity |
| Predicate | belongsToConceptualCategory |
P60805
|
FINISHED |
| Object | religious ethnonyms |
—
|
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: religious ethnonyms | Statement: [Banu Adam, belongsToConceptualCategory, religious ethnonyms]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: belongsToConceptualCategory Context triple: [Banu Adam, belongsToConceptualCategory, religious ethnonyms]
-
A.
categoryConcept
chosen
Indicates that one entity serves as a categorical type or conceptual class under which the other entity is grouped or classified.
-
B.
hasConceptualStatus
Indicates that an entity holds a particular abstract, theoretical, or conceptual standing or classification within a given framework or context.
-
C.
containsCategory
Indicates that one entity includes or encompasses a specific category as part of its classification or organizational structure.
-
D.
isConceptual
Indicates that something exists as an abstract or theoretical idea rather than as a concrete, physical entity.
-
E.
hasConcept
Indicates that an entity includes, embodies, or is associated with a particular concept.
- 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_69e7ab37438081908f1ccf6284839520 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f6b903538481909cffcb6cc1cc0e70 |
completed | May 3, 2026, 2:54 a.m. |
| PD | Predicate disambiguation | batch_69f6b626120c819097c9ad04487570d7 |
completed | May 3, 2026, 2:42 a.m. |
Created at: April 22, 2026, 7:37 a.m.