Triple

T15477084
Position Surface form Disambiguated ID Type / Status
Subject Gilan Province E376809 entity
Predicate hasMajorCity P316 FINISHED
Object Bandar-e Anzali E680336 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: Bandar-e Anzali | Statement: [Gilan Province, hasMajorCity, Bandar-e Anzali]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bandar-e Anzali
Context triple: [Gilan Province, hasMajorCity, Bandar-e Anzali]
  • A. Bandar-e Anzali chosen
    Bandar-e Anzali is a port city on the Caspian Sea in northern Iran, known for its maritime trade, lagoon, and role as a regional tourist destination.
  • B. Bandar-e Lengeh
    Bandar-e Lengeh is a coastal port city on the Persian Gulf in southern Iran, known historically as a regional trading hub.
  • C. Mahshahr
    Mahshahr is a port and industrial city in southwestern Iran known for its petrochemical facilities and access to the Persian Gulf.
  • D. Babolsar
    Babolsar is a coastal city on the Caspian Sea in northern Iran, known as a regional tourist destination with beaches, a riverfront, and a popular seaside promenade.
  • E. Bandar Abbas
    Bandar Abbas is a strategic Iranian port city on the Persian Gulf that serves as a key maritime and commercial hub near the Strait of Hormuz.
  • 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_69d85cd21dcc81908646251b1c26ea00 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e03f88a5dc8190a2d7830748e29180 completed April 16, 2026, 1:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff2d0b3e7881908f195701fe222371 completed May 9, 2026, 12:48 p.m.
Created at: April 10, 2026, 3:34 a.m.