Triple

T5640125
Position Surface form Disambiguated ID Type / Status
Subject Sohrab E124244 entity
Predicate associatedWith P37 FINISHED
Object Turan E515480 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: Turan | Statement: [Sohrab, associatedWith, Turan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Turan
Context triple: [Sohrab, associatedWith, Turan]
  • A. Turan chosen
    Turan is a legendary land and people in Persian mythology and epic literature, often portrayed as the arch-enemies of Iran in works like the Shahnameh.
  • B. Touqan
    Touqan is a family name of notable Palestinian origin, associated with prominent poets, politicians, and intellectuals in the Arab world.
  • C. Turkmeneli
    Turkmeneli is a culturally distinct region in northern Iraq traditionally inhabited by the Iraqi Turkmen minority, known for its unique Turkmen heritage, language, and traditions.
  • D. Sijistan
    Sijistan (also known as Sistan) is a historical region in eastern Iran and southwestern Afghanistan that was an important center of early Islamic scholarship and culture.
  • E. Balkar
    Balkar is a Turkic language spoken primarily by the Balkar people in the North Caucasus region of 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_69c00824643c81909ffdb888a2d35189 completed March 22, 2026, 3:17 p.m.
NER Named-entity recognition batch_69c022850bf08190953cd5394f821801 completed March 22, 2026, 5:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69c04d7456408190962c476f2848927e completed March 22, 2026, 8:13 p.m.
Created at: March 22, 2026, 3:41 p.m.