Triple
T19634628
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Moshe Aviv |
E471357
|
entity |
| Predicate | hasNotableRelative |
P367
|
FINISHED |
| Object | Moshe Aviv Tower |
—
|
NE NERFINISHED |
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: Moshe Aviv Tower | Statement: [Moshe Aviv, hasNotableRelative, Moshe Aviv Tower]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Moshe Aviv Tower Context triple: [Moshe Aviv, hasNotableRelative, Moshe Aviv Tower]
-
A.
Moshe Aviv Tower
chosen
Moshe Aviv Tower is a prominent skyscraper in Israel, known as one of the tallest buildings in the country and a key feature of the Ramat Gan skyline.
-
B.
Maccabi Tower
Maccabi Tower is a high-rise office building located within the Ramat Gan Diamond Exchange district in Israel, known for its role in the country’s commercial and business skyline.
-
C.
Salamon Tower
Salamon Tower is a medieval defensive tower and prominent historical monument in the town of Visegrád, Hungary.
-
D.
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.
-
E.
Shimshon Tower
Shimshon Tower is a prominent office skyscraper in Israel’s Diamond Exchange District, known for housing businesses connected to the country’s diamond and commercial trade.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e511f28481909f4bc3ea9191e54a |
completed | April 10, 2026, 11:54 a.m. |
| NER | Named-entity recognition | batch_69e64104ff2881908fec49b7fba5a2e6 |
completed | April 20, 2026, 3:06 p.m. |
Created at: April 10, 2026, 1:44 p.m.