Triple
T9032491
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dizengoff Street |
E216404
|
entity |
| Predicate | connectsWith |
P37
|
FINISHED |
| Object | Dizengoff Square |
E167531
|
NE 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: Dizengoff Square | Statement: [Dizengoff Street, connectsWith, Dizengoff Square]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dizengoff Square Context triple: [Dizengoff Street, connectsWith, Dizengoff Square]
-
A.
Dizengoff Square
chosen
Dizengoff Square is a central public plaza in Tel Aviv, Israel, known as a historic urban landmark and social hub of the city.
-
B.
Meskel Square
Meskel Square is a major public square and transportation hub in Addis Ababa, Ethiopia, best known as the central site for large national celebrations, rallies, and cultural events.
-
C.
Dizengoff Center
Dizengoff Center is a large, iconic shopping mall and commercial complex in central Tel Aviv, Israel.
-
D.
Zion Square
Zion Square is a central public plaza in downtown Jerusalem known as a popular gathering spot, commercial hub, and focal point of city life.
-
E.
Azrieli Center
Azrieli Center is a prominent commercial and office complex in Tel Aviv, Israel, known for its trio of distinctive high-rise towers and large shopping mall.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ca83d10b608190b2b2f8e0a7faaf14 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc6aa0c89c81909792190f08fef8df |
completed | April 1, 2026, 12:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cffda9697c81908a1a9e447519ce05 |
completed | April 3, 2026, 5:49 p.m. |
Created at: March 30, 2026, 7:08 p.m.