Triple
T16187479
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Israel Asper Tower of Hope |
E392845
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Israel Asper Tower of Hope |
E392845
|
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: Israel Asper Tower of Hope | Statement: [Israel Asper Tower of Hope, name, Israel Asper Tower of Hope]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Israel Asper Tower of Hope Context triple: [Israel Asper Tower of Hope, name, Israel Asper Tower of Hope]
-
A.
Israel Asper Tower of Hope
chosen
The Israel Asper Tower of Hope is a prominent architectural landmark and symbolic beacon of aspiration and human rights at the Canadian Museum for Human Rights in Winnipeg, Canada.
-
B.
Salamon Tower
Salamon Tower is a medieval defensive tower and prominent historical monument in the town of Visegrád, Hungary.
-
C.
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.
-
D.
Dizengoff Center
Dizengoff Center is a large, iconic shopping mall and commercial complex in central Tel Aviv, Israel.
-
E.
Holleder Center
Holleder Center is a multi-purpose athletic complex at the United States Military Academy at West Point, best known for hosting Army's ice hockey and basketball facilities.
- 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_69d87f1e49ac8190a311b54d32990576 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e220630db481908a0c7f7170f20c5f |
completed | April 17, 2026, 11:58 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffff0750f08190a2fce65124d8dcc0 |
completed | May 10, 2026, 3:44 a.m. |
Created at: April 10, 2026, 5:02 a.m.