Triple

T8159661
Position Surface form Disambiguated ID Type / Status
Subject Mazandaran Province E190543 entity
Predicate hasCity P316 FINISHED
Object Nowshahr E779988 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: Nowshahr | Statement: [Mazandaran Province, hasCity, Nowshahr]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nowshahr
Context triple: [Mazandaran Province, hasCity, Nowshahr]
  • A. Nowshahr chosen
    Nowshahr is a coastal city on the Caspian Sea in northern Iran, known as a regional port, tourist destination, and commercial center.
  • B. Mahshahr
    Mahshahr is a port and industrial city in southwestern Iran known for its petrochemical facilities and access to the Persian Gulf.
  • C. Meshginshahr
    Meshginshahr is a city in northwestern Iran known for its proximity to Mount Sabalan and its hot springs.
  • D. Rasht
    Rasht is a major city in northern Iran near the Caspian Sea, known as the capital of Gilan Province and a cultural and economic center of the region.
  • E. Mazanderani
    Mazanderani is a Northwestern Iranian language spoken along Iran’s Caspian Sea coast, particularly in Mazandaran Province.
  • 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_69ca82bfeb6481909d07b91b5cf69f59 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb45537d248190a0e998b6d336e6e1 completed March 31, 2026, 3:53 a.m.
NED1 Entity disambiguation (via context triple) batch_69d065ac77c08190af1c13cce87e0991 completed April 4, 2026, 1:13 a.m.
Created at: March 30, 2026, 5:38 p.m.