Triple
T18945912
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ramat Gan Diamond Exchange complex |
E463513
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Noam 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: Noam Tower | Statement: [Ramat Gan Diamond Exchange complex, hasPart, Noam Tower]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Noam Tower Context triple: [Ramat Gan Diamond Exchange complex, hasPart, Noam Tower]
-
A.
Noam Tower
chosen
Noam Tower is a high-rise commercial office building located in the Diamond Exchange District of Ramat Gan, Israel.
-
B.
Salamon Tower
Salamon Tower is a medieval defensive tower and prominent historical monument in the town of Visegrád, Hungary.
-
C.
Nina Tower
Nina Tower is a prominent skyscraper complex in Tsuen Wan, Hong Kong, known for its distinctive twin-tower design and mixed-use commercial and hotel facilities.
-
D.
Rebhorn
Rebhorn is a surname most notably associated with American character actor James Rebhorn, known for his extensive work in film, television, and theater.
-
E.
Book Tower
The Book Tower is an iconic modernist high-rise library building in Ghent, Belgium, designed by architect Henry van de Velde as a landmark for Ghent University.
- 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_69d8dcfec90481909e926be9767e5779 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d53f6eb8819099b1268db8b14d66 |
completed | April 20, 2026, 7:26 a.m. |
Created at: April 10, 2026, 11:59 a.m.