Triple
T5639879
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hurva Synagogue (unbuilt project) |
E124238
|
entity |
| Predicate | spatialConcept |
P63660
|
FINISHED |
| Object | centralized worship space |
—
|
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: centralized worship space | Statement: [Hurva Synagogue (unbuilt project), spatialConcept, centralized worship space]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: spatialConcept Context triple: [Hurva Synagogue (unbuilt project), spatialConcept, centralized worship space]
-
A.
spatialProperty
Indicates a relationship where one entity has a specific spatial characteristic, such as position, size, orientation, or geometric configuration in space, relative to a reference frame or other entities.
-
B.
spatialRelation
Indicates a spatial relationship between entities, specifying how one is positioned or located relative to another in space.
-
C.
zoneConcept
Indicates that one entity is associated with, defined by, or operates within a particular zone or conceptual area specified by another entity.
-
D.
addressesConcept
Indicates that one entity deals with, discusses, or responds to the subject matter represented by another entity.
-
E.
spatialUnitType
chosen
Indicates the specific kind or category of spatial unit (e.g., parcel, building, region) that characterizes the spatial entity in question.
- 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_69c00824643c81909ffdb888a2d35189 |
completed | March 22, 2026, 3:17 p.m. |
| NER | Named-entity recognition | batch_69c022850bf08190953cd5394f821801 |
completed | March 22, 2026, 5:10 p.m. |
| PD | Predicate disambiguation | batch_69c01b2168508190b64b355cf50034ad |
completed | March 22, 2026, 4:38 p.m. |
Created at: March 22, 2026, 3:41 p.m.