Triple
T880015
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ramat Gan |
E19003
|
entity |
| Predicate | hasLandmark |
P105
|
FINISHED |
| Object |
Diamond Tower
Diamond Tower is a prominent skyscraper in Ramat Gan, Israel, known for housing offices and facilities related to the country's diamond industry.
|
E102851
|
NE FINISHED |
How this triple was built (4 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: Diamond Tower | Statement: [Ramat Gan, hasLandmark, Diamond Tower]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Diamond Tower Context triple: [Ramat Gan, hasLandmark, Diamond Tower]
-
A.
Renaissance Tower
Renaissance Tower is a prominent modernist office skyscraper and one of the most recognizable landmarks in the Dallas, Texas skyline.
-
B.
Al Hamra Tower
Al Hamra Tower is a prominent skyscraper in Kuwait City known for its distinctive twisting design and status as one of the tallest buildings in Kuwait.
-
C.
Hıdırlık Tower
Hıdırlık Tower is an ancient Roman-era stone tower and prominent coastal landmark overlooking the harbor in Antalya, Turkey.
-
D.
Torre
Torre is a surname most prominently associated with Joe Torre, the Hall of Fame Major League Baseball manager and former player.
-
E.
Milad Tower
Milad Tower is a prominent multi-purpose telecommunications and observation tower in Tehran, Iran, and one of the tallest towers in the world.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Diamond Tower Triple: [Ramat Gan, hasLandmark, Diamond Tower]
Generated description
Diamond Tower is a prominent skyscraper in Ramat Gan, Israel, known for housing offices and facilities related to the country's diamond industry.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Diamond Tower Target entity description: Diamond Tower is a prominent skyscraper in Ramat Gan, Israel, known for housing offices and facilities related to the country's diamond industry.
-
A.
Renaissance Tower
Renaissance Tower is a prominent modernist office skyscraper and one of the most recognizable landmarks in the Dallas, Texas skyline.
-
B.
Al Hamra Tower
Al Hamra Tower is a prominent skyscraper in Kuwait City known for its distinctive twisting design and status as one of the tallest buildings in Kuwait.
-
C.
Hıdırlık Tower
Hıdırlık Tower is an ancient Roman-era stone tower and prominent coastal landmark overlooking the harbor in Antalya, Turkey.
-
D.
Torre
Torre is a surname most prominently associated with Joe Torre, the Hall of Fame Major League Baseball manager and former player.
-
E.
Milad Tower
Milad Tower is a prominent multi-purpose telecommunications and observation tower in Tehran, Iran, and one of the tallest towers in the world.
- F. None of above. chosen
Provenance (5 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_69a4939c32488190a7ccd41cf0abb22b |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4acc9d5f4819087afbb75b6ac3dbf |
completed | March 1, 2026, 9:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a7b85630f081909f3a912d54dd328c |
completed | March 4, 2026, 4:43 a.m. |
| NEDg | Description generation | batch_69a7b8de773c8190a993b057dfe3693e |
completed | March 4, 2026, 4:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a7b9793dd48190869b3499fe170efd |
completed | March 4, 2026, 4:47 a.m. |
Created at: March 1, 2026, 7:39 p.m.