Triple
T5626161
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mughrabi Quarter |
E147721
|
entity |
| Predicate | causeOfDemolition |
P13074
|
FINISHED |
| Object | expansion of Jewish prayer area at Western Wall |
—
|
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: expansion of Jewish prayer area at Western Wall | Statement: [Mughrabi Quarter, causeOfDemolition, expansion of Jewish prayer area at Western Wall]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: causeOfDemolition Context triple: [Mughrabi Quarter, causeOfDemolition, expansion of Jewish prayer area at Western Wall]
-
A.
reasonForDemolition
chosen
Indicates the cause, justification, or circumstance that led to a structure or object being demolished.
-
B.
hasDemolitionOrDestruction
Indicates that one entity causes, undergoes, or is associated with the demolition or destruction of another entity.
-
C.
demolishedWith
Indicates that one entity was destroyed or torn down using another specified tool, method, or agent.
-
D.
demolished
Indicates that one entity completely destroyed or razed another entity, typically a structure or object, so that it no longer exists in its previous form.
-
E.
demolishedAfter
Indicates that one entity was demolished at a point in time later than the demolition of another 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_69c00906f2a88190a992c66b13d606d4 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c02237dd6081909f6a7d710b9cd651 |
completed | March 22, 2026, 5:09 p.m. |
| PD | Predicate disambiguation | batch_69c01b1d4b108190846ce586dc783acf |
completed | March 22, 2026, 4:38 p.m. |
Created at: March 22, 2026, 3:40 p.m.