Triple

T1658666
Position Surface form Disambiguated ID Type / Status
Subject Azadi Tower E35855 entity
Predicate formerName P65 FINISHED
Object Shahyad Tower E35855 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: Shahyad Tower | Statement: [Azadi Tower, formerName, Shahyad Tower]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shahyad Tower
Context triple: [Azadi Tower, formerName, Shahyad Tower]
  • A. 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.
  • B. Azadi Tower chosen
    Azadi Tower is an iconic white marble monument in Tehran, Iran, symbolizing the city’s modern identity and serving as a major cultural and historical landmark.
  • C. Baghdad Tower
    Baghdad Tower is a prominent telecommunications and observation tower in Baghdad, Iraq, known as a modern city landmark.
  • D. 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.
  • E. Hassan Tower
    Hassan Tower is an unfinished 12th-century minaret and iconic historical monument in Rabat, Morocco, originally intended to be the world’s largest mosque.
  • 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_69a88606aa808190aa0b421b4271f220 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a90aafe5e881908158fab83998fd07 completed March 5, 2026, 4:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad71ab0ea0819099662964aab9609e completed March 8, 2026, 12:55 p.m.
Created at: March 4, 2026, 7:29 p.m.