Triple

T8159664
Position Surface form Disambiguated ID Type / Status
Subject Mazandaran Province E190543 entity
Predicate hasCity P316 FINISHED
Object Behshahr
Behshahr is a city in northern Iran known for its historical sites, lush natural surroundings, and proximity to the Caspian Sea.
 E779988 NE FINISHED

How this triple was built (4 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: Behshahr | Statement: [Mazandaran Province, hasCity, Behshahr]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Behshahr
Context triple: [Mazandaran Province, hasCity, Behshahr]
  • A. Bushehr
    Bushehr is a coastal city in southwestern Iran on the Persian Gulf, known for its strategic port and nearby nuclear power plant.
  • B. Mahshahr
    Mahshahr is a port and industrial city in southwestern Iran known for its petrochemical facilities and access to the Persian Gulf.
  • C. 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.
  • D. Nowshahr
    Nowshahr is a coastal city on the Caspian Sea in northern Iran, known as a regional port, tourist destination, and commercial center.
  • E. Meshginshahr
    Meshginshahr is a city in northwestern Iran known for its proximity to Mount Sabalan and its hot springs.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Behshahr
Triple: [Mazandaran Province, hasCity, Behshahr]
Generated description
Behshahr is a city in northern Iran known for its historical sites, lush natural surroundings, and proximity to the Caspian Sea.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Behshahr
Target entity description: Behshahr is a city in northern Iran known for its historical sites, lush natural surroundings, and proximity to the Caspian Sea.
  • A. Bushehr
    Bushehr is a coastal city in southwestern Iran on the Persian Gulf, known for its strategic port and nearby nuclear power plant.
  • B. Mahshahr
    Mahshahr is a port and industrial city in southwestern Iran known for its petrochemical facilities and access to the Persian Gulf.
  • C. 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.
  • D. Nowshahr chosen
    Nowshahr is a coastal city on the Caspian Sea in northern Iran, known as a regional port, tourist destination, and commercial center.
  • E. Meshginshahr
    Meshginshahr is a city in northwestern Iran known for its proximity to Mount Sabalan and its hot springs.
  • F. None of above.

Provenance (5 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_69d076fe8448819087e12ffe4d5bdf3c completed April 4, 2026, 2:27 a.m.
NEDg Description generation batch_69d07bdc462881909dfdf22f319313e7 completed April 4, 2026, 2:47 a.m.
NED2 Entity disambiguation (via description) batch_69d07c2f6a888190ad0aa994ba3617d2 completed April 4, 2026, 2:49 a.m.
Created at: March 30, 2026, 5:38 p.m.