Triple
T202140
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Conservative Judaism |
E4527
|
entity |
| Predicate | hasPositionOn |
P8266
|
FINISHED |
| Object | Jewish law and modernity |
—
|
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: Jewish law and modernity | Statement: [Conservative Judaism, hasPositionOn, Jewish law and modernity]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPositionOn Context triple: [Conservative Judaism, hasPositionOn, Jewish law and modernity]
-
A.
positionOn
Indicates that one entity is located on top of or at a specific place along the surface or extent of another entity.
-
B.
isPositionOf
Indicates that one entity represents the spatial or organizational position or location of another entity.
-
C.
appliesToPosition
Indicates that something (such as a rule, condition, or attribute) is relevant or applicable to a specific position or role.
-
D.
isOn
Indicates that one entity is physically positioned above and in contact with the top surface of another entity.
-
E.
isAt
Indicates that one entity is located at or present in the place or position of another entity.
- F. None of above. chosen
Provenance (4 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_69a25737567c81908f9c505300239181 |
completed | Feb. 28, 2026, 2:47 a.m. |
| NER | Named-entity recognition | batch_69a25c2ead8481909996042efcae5e9d |
completed | Feb. 28, 2026, 3:08 a.m. |
| PD | Predicate disambiguation | batch_69a25b4a0d448190a6fa6aeb30dc7e13 |
completed | Feb. 28, 2026, 3:04 a.m. |
| PDg | Predicate description generation | batch_69a25c2bda788190bcfc0bc94686f9e0 |
completed | Feb. 28, 2026, 3:08 a.m. |
Created at: Feb. 28, 2026, 2:51 a.m.