Triple
T24914348
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hulaula |
E623936
|
entity |
| Predicate | religionOfTraditionalSpeakers |
P69775
|
FINISHED |
| Object | Judaism |
—
|
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: Judaism | Statement: [Hulaula, religionOfTraditionalSpeakers, Judaism]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: religionOfTraditionalSpeakers Context triple: [Hulaula, religionOfTraditionalSpeakers, Judaism]
-
A.
spokenByReligion
Indicates that something (such as a text, doctrine, or statement) is expressed or articulated by a particular religion or religious tradition.
-
B.
languageOfScripturalTradition
Indicates the language in which a given scriptural or religious textual tradition is expressed or transmitted.
-
C.
ethnicOrReligiousGroup
Indicates that one entity is an ethnic or religious group to which the other entity belongs or with which it is associated.
-
D.
ethnicReligion
Indicates that a religion is closely associated with a particular ethnic group, often tied to that group’s culture, ancestry, or identity.
-
E.
languageOfReligiousLife
chosen
Indicates the language primarily used in the religious practices, rituals, or spiritual life associated with an 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_69e2fac889c081908e9ff686cb428e5a |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f606c79ad081908369605f72e65ca6 |
completed | May 2, 2026, 2:14 p.m. |
| PD | Predicate disambiguation | batch_69f602ce79ec8190b8336c2b9de18ac7 |
completed | May 2, 2026, 1:57 p.m. |
Created at: April 18, 2026, 5:28 a.m.