Triple

T7994482
Position Surface form Disambiguated ID Type / Status
Subject Southern Iran E186087 entity
Predicate hasMajorCity P316 FINISHED
Object Mahshahr E610903 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: Mahshahr | Statement: [Southern Iran, hasMajorCity, Mahshahr]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mahshahr
Context triple: [Southern Iran, hasMajorCity, Mahshahr]
  • A. Mahshahr chosen
    Mahshahr is a port and industrial city in southwestern Iran known for its petrochemical facilities and access to the Persian Gulf.
  • B. Bushehr
    Bushehr is a coastal city in southwestern Iran on the Persian Gulf, known for its strategic port and nearby nuclear power plant.
  • C. Meshginshahr
    Meshginshahr is a city in northwestern Iran known for its proximity to Mount Sabalan and its hot springs.
  • D. Khorramshahr
    Khorramshahr is a strategic port city in southwestern Iran on the Shatt al-Arab waterway, historically significant for its role in World War II logistics and the Iran–Iraq War.
  • E. Bandar-e Anzali
    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.
  • 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_69ca829c6c308190ab05b43d234c52b2 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3c73ba388190bcedc29fbdd22f3c completed March 31, 2026, 3:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69ccbe17811081909c19f18c853617af completed April 1, 2026, 6:41 a.m.
Created at: March 30, 2026, 5:16 p.m.