Triple
T24578087
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jacob |
E608167
|
entity |
| Predicate | canBeUsedByReligion |
P56479
|
FINISHED |
| Object | Jews |
—
|
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: Jews | Statement: [Jacob, canBeUsedByReligion, Jews]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: canBeUsedByReligion Context triple: [Jacob, canBeUsedByReligion, Jews]
-
A.
isUsedByReligion
chosen
Indicates that something (such as an object, practice, text, or symbol) is employed or utilized within the context of a particular religion.
-
B.
usedReligionFor
Indicates that an entity employed religion as a means or tool to achieve some purpose, goal, or effect.
-
C.
isInUseForWorship
Indicates that something is currently being used for religious or worship-related activities.
-
D.
hasReligiousType
Indicates that an entity is associated with or classified under a particular religion or religious category.
-
E.
majorReligionCanBe
Indicates that an entity can have a particular major religion as one of its possible primary religious affiliations.
- 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_69e2c4cdab6c8190aae6e5d3de55c95e |
completed | April 17, 2026, 11:39 p.m. |
| NER | Named-entity recognition | batch_69f2a97be2ac8190aecf5e54a37e266a |
completed | April 30, 2026, 12:59 a.m. |
| PD | Predicate disambiguation | batch_69f2a6c1f07081908edf0b521767e79b |
completed | April 30, 2026, 12:48 a.m. |
Created at: April 18, 2026, 2:29 a.m.