Triple

T3708024
Position Surface form Disambiguated ID Type / Status
Subject Ganja E80938 entity
Predicate hasTwinTown P919 FINISHED
Object Kars E199207 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: Kars | Statement: [Ganja, hasTwinTown, Kars]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kars
Context triple: [Ganja, hasTwinTown, Kars]
  • A. Kars chosen
    Kars is a historic city in northeastern Turkey known for its medieval fortifications, strategic location near the Caucasus, and role as a former regional capital in various Armenian and Ottoman periods.
  • B. Karad
    Karad is a town in the Satara district of Maharashtra, India, known for its location at the confluence of the Krishna and Koyna rivers and its regional commercial and educational significance.
  • C. Kirovakan
    Kirovakan is the former name of Vanadzor, a major industrial city in northern Armenia.
  • D. Karak
    Karak is a red-tailed black cockatoo known for serving as the official mascot of the 2006 Commonwealth Games in Melbourne, Australia.
  • E. Karak
    Karak is a town in Pakistan’s Khyber Pakhtunkhwa province known as the headquarters of Karak District and for its surrounding oil and gas reserves.
  • 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_69ad8b1793888190a5f70e4b21dc05a1 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adc580b08481908391283778d5ce14 completed March 8, 2026, 6:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4ce0216bc8190b44d2950b7cb24c3 completed March 14, 2026, 2:54 a.m.
Created at: March 8, 2026, 3:33 p.m.