Triple
T5639877
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hurva Synagogue (unbuilt project) |
E124238
|
entity |
| Predicate | formalConcept |
P531
|
FINISHED |
| Object | monumental geometric volumes |
—
|
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: monumental geometric volumes | Statement: [Hurva Synagogue (unbuilt project), formalConcept, monumental geometric volumes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: formalConcept Context triple: [Hurva Synagogue (unbuilt project), formalConcept, monumental geometric volumes]
-
A.
primaryConcept
Indicates that one concept is the main or central idea in relation to another concept or context.
-
B.
hasConcept
chosen
Indicates that an entity includes, embodies, or is associated with a particular concept.
-
C.
featuredConcept
Indicates that one concept is highlighted or given special prominence relative to others in a particular context.
-
D.
formalizedUnder
Indicates that something has been officially established, defined, or codified within the framework, authority, or provisions of a particular formal system, agreement, or institution.
-
E.
isFormalizedBy
Indicates that something is given a defined, structured, or official form through a specific method, process, or representation.
- 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.