Triple

T16106773
Position Surface form Disambiguated ID Type / Status
Subject Bushehr Province E390758 entity
Predicate hasCity P316 FINISHED
Object Bandar-e Asaluyeh
Bandar-e Asaluyeh is a coastal city in southern Iran known as a major hub for the country’s petrochemical and natural gas industries along the Persian Gulf.
 E1216352 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: Bandar-e Asaluyeh | Statement: [Bushehr Province, hasCity, Bandar-e Asaluyeh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bandar-e Asaluyeh
Context triple: [Bushehr Province, hasCity, Bandar-e Asaluyeh]
  • A. 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.
  • 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. Bandar-e Deylam
    Bandar-e Deylam is a coastal city and port on the Persian Gulf in Iran’s Bushehr Province.
  • E. 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.
  • 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: Bandar-e Asaluyeh
Triple: [Bushehr Province, hasCity, Bandar-e Asaluyeh]
Generated description
Bandar-e Asaluyeh is a coastal city in southern Iran known as a major hub for the country’s petrochemical and natural gas industries along the Persian Gulf.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bandar-e Asaluyeh
Target entity description: Bandar-e Asaluyeh is a coastal city in southern Iran known as a major hub for the country’s petrochemical and natural gas industries along the Persian Gulf.
  • A. 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.
  • 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. Bandar-e Deylam
    Bandar-e Deylam is a coastal city and port on the Persian Gulf in Iran’s Bushehr Province.
  • E. 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.
  • F. None of above. chosen

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_69d87f1a8dd881909f1de6ef78849874 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e1ff6d81d081909e1315f4dbfd7369 completed April 17, 2026, 9:37 a.m.
NED1 Entity disambiguation (via context triple) batch_6a005809cbf08190b35f2c820793163c completed May 10, 2026, 10:03 a.m.
NEDg Description generation batch_6a0059aef1e88190a77ed6036c546718 completed May 10, 2026, 10:10 a.m.
NED2 Entity disambiguation (via description) batch_6a005a2411608190b0fd5dbb68c47fe4 completed May 10, 2026, 10:12 a.m.
Created at: April 10, 2026, 5 a.m.