Triple

T9460780
Position Surface form Disambiguated ID Type / Status
Subject Sarikoli E228138 entity
Predicate alternativeName P39 FINISHED
Object Sariqoli E228138 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: Sariqoli | Statement: [Sarikoli, alternativeName, Sariqoli]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sariqoli
Context triple: [Sarikoli, alternativeName, Sariqoli]
  • A. Sarikoli chosen
    Sarikoli is an Eastern Iranian language spoken primarily by the Tajik ethnic community in the Tashkurgan region of Xinjiang, China.
  • B. Jalalaqsi
    Jalalaqsi is a town in central Somalia that serves as a local administrative and commercial center within the Hirshabelle State.
  • C. Saryk
    The Saryk are a historically significant Turkmen tribe known for their distinct cultural traditions and contributions to the ethnogenesis of the Turkmen people in Central Asia.
  • D. Yozgat
    Yozgat is a city in central Turkey known for its location on the Anatolian plateau and its traditional Anatolian culture and history.
  • E. Ust-Koksa
    Ust-Koksa is a rural settlement in Russia’s Altai Republic, known as a gateway village for trekking and tourism in the Belukha Mountain region of the Altai Mountains.
  • 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_69ca843b123881909b0e60028475d12d completed March 30, 2026, 2:10 p.m.
NER Named-entity recognition batch_69cd7fcaf610819092bcd3b871665aa5 completed April 1, 2026, 8:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1229ec9448190bac9b7a38e030833 completed April 4, 2026, 2:39 p.m.
Created at: March 30, 2026, 7:52 p.m.