Triple

T20066675
Position Surface form Disambiguated ID Type / Status
Subject Greater Tehran E499624 entity
Predicate contains P35 FINISHED
Object Varamin NE NERFINISHED

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: Varamin | Statement: [Greater Tehran, contains, Varamin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Varamin
Context triple: [Greater Tehran, contains, Varamin]
  • A. Varamin chosen
    Varamin is a historic city in northern Iran, known for its agricultural importance and notable Islamic architecture, including the Jameh Mosque of Varamin.
  • B. Valarshapat
    Valarshapat is an ancient Armenian city, historically significant as a religious and cultural center and now known as Vagharshapat, home to the Mother See of Holy Etchmiadzin.
  • C. Daelaam
    Daelaam is the unified interstellar government of the Protoss in the StarCraft universe, formed by merging their major factions into a single political and military alliance.
  • D. Overath
    Overath is a small town in western Germany’s North Rhine-Westphalia, situated near Cologne within the broader Rhine-Ruhr urban area.
  • E. Dinavar
    Dinavar was an important medieval town and cultural center in western Iran, known for its role in early Islamic scholarship and administration.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69da627770948190997f486f9a2e370f completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e66379f2cc81908f13a7b216878f12 completed April 20, 2026, 5:33 p.m.
Created at: April 11, 2026, 3:39 p.m.