Triple

T21201312
Position Surface form Disambiguated ID Type / Status
Subject Babolki dialect E522460 entity
Predicate spokenIn P2266 FINISHED
Object Babol 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: Babol | Statement: [Babolki dialect, spokenIn, Babol]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Babol
Context triple: [Babolki dialect, spokenIn, Babol]
  • A. Babol chosen
    Babol is a prominent city in northern Iran known for its historical significance, dense population, and location near the Caspian Sea in Mazandaran Province.
  • B. Astarabad
    Astarabad is the historical name of the city now known as Gorgan in northeastern Iran, once an important regional center near the Caspian Sea.
  • C. Kashmar
    Kashmar is a city in northeastern Iran known for its agricultural production, especially grapes and raisins, and its location within Razavi Khorasan Province.
  • D. Leninabad
    Leninabad was the Soviet-era name of the city now known as Khujand, a major historical and industrial center in northern Tajikistan.
  • E. Balkh
    Balkh is an ancient city in northern Afghanistan, historically a major center of Persian culture, trade, and Islamic scholarship.
  • 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_69e0b5112d8881909510b2dcdc93106d completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e73430c5a08190aeb6a62eec0f43a3 completed April 21, 2026, 8:24 a.m.
Created at: April 16, 2026, 3:18 p.m.