Triple

T13760663
Position Surface form Disambiguated ID Type / Status
Subject Minarets E330597 entity
Predicate notablePeak P20909 FINISHED
Object Ken Minaret E330597 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: Ken Minaret | Statement: [Minarets, notablePeak, Ken Minaret]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ken Minaret
Context triple: [Minarets, notablePeak, Ken Minaret]
  • A. Alaeddin Hill
    Alaeddin Hill is a prominent historic mound and park in central Konya, Turkey, known for its ancient citadel ruins and panoramic views of the city.
  • B. Minarets chosen
    The Minarets are a striking series of jagged granite spires in California’s Sierra Nevada, renowned among climbers and photographers for their dramatic alpine scenery.
  • C. Chihkan Tower
    Chihkan Tower is a historic landmark and former Dutch colonial fort in Tainan, Taiwan, renowned for its traditional Chinese architecture and cultural significance.
  • D. Kalyan Minaret
    Kalyan Minaret is a towering 12th-century brick minaret in Bukhara, Uzbekistan, renowned as an iconic symbol of the city’s Islamic architecture and Silk Road heritage.
  • E. Soyembika Tower
    Soyembika Tower is a historic leaning brick tower and one of the most recognizable architectural symbols of Kazan and Tatarstan, Russia.
  • 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_69d81c573f288190aa2403d484fa3d49 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de0223ab9081909db05334860405e0 completed April 14, 2026, 9 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7a8606dbc8190b0f7c38583986141 completed May 3, 2026, 7:56 p.m.
Created at: April 9, 2026, 10:09 p.m.