Triple
T30366875
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | רחוב דיזנגוף |
E772442
|
entity |
| Predicate | hasRenovationHistory |
P3322
|
FINISHED |
| Object | שינויים ושיפוצים תכופים לאורך השנים |
—
|
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: שינויים ושיפוצים תכופים לאורך השנים | Statement: [רחוב דיזנגוף, hasRenovationHistory, שינויים ושיפוצים תכופים לאורך השנים]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRenovationHistory Context triple: [רחוב דיזנגוף, hasRenovationHistory, שינויים ושיפוצים תכופים לאורך השנים]
-
A.
hasRenovation
chosen
Indicates that an entity has undergone, is undergoing, or is associated with a renovation process or renovation event.
-
B.
wasRenovatedFor
Indicates that an existing entity underwent renovation specifically to serve the needs, purposes, or use of another entity.
-
C.
hasRenovatedUnit
Indicates that an entity has a unit (e.g., property, space, or component) that has undergone renovation or significant improvement.
-
D.
requiresRenovation
Indicates that an entity is in a condition that necessitates repair, updating, or refurbishment before it is suitable for normal use or standards.
-
E.
hasRenovatedFacade
Indicates that an entity has a building whose exterior facade has been renovated or updated.
- 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_69f2248d71408190aec0d5c2001b1cff |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_6a00708ab11081909641d245c4282aa0 |
completed | May 10, 2026, 11:48 a.m. |
| PD | Predicate disambiguation | batch_6a00703daa0081908903ce3a28084d35 |
completed | May 10, 2026, 11:47 a.m. |
Created at: April 29, 2026, 7:58 p.m.