Triple

T16106771
Position Surface form Disambiguated ID Type / Status
Subject Bushehr Province E390758 entity
Predicate hasCity P316 FINISHED
Object Bandar-e Deylam
Bandar-e Deylam is a coastal city and port on the Persian Gulf in Iran’s Bushehr Province.
E1194334 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 Deylam | Statement: [Bushehr Province, hasCity, Bandar-e Deylam]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bandar-e Deylam
Context triple: [Bushehr Province, hasCity, Bandar-e Deylam]
  • 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. Darband
    Darband is another name for Derbent, an ancient fortified city on the Caspian Sea in present-day Dagestan, Russia, known for its strategic mountain pass and historic defensive walls.
  • D. Darband
    Darband is a popular mountainous neighborhood and hiking gateway in northern Tehran, Iran, known for its scenic trails, riverside cafés, and traditional restaurants.
  • E. Khoy
    Khoy is a historic city in northwestern Iran known as a major urban center of the West Azerbaijan province and an important regional trade hub.
  • 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 Deylam
Triple: [Bushehr Province, hasCity, Bandar-e Deylam]
Generated description
Bandar-e Deylam is a coastal city and port on the Persian Gulf in Iran’s Bushehr Province.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Bandar-e Deylam
Target entity description: Bandar-e Deylam is a coastal city and port on the Persian Gulf in Iran’s Bushehr Province.
  • 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. Darband
    Darband is another name for Derbent, an ancient fortified city on the Caspian Sea in present-day Dagestan, Russia, known for its strategic mountain pass and historic defensive walls.
  • D. Darband
    Darband is a popular mountainous neighborhood and hiking gateway in northern Tehran, Iran, known for its scenic trails, riverside cafés, and traditional restaurants.
  • E. Khoy
    Khoy is a historic city in northwestern Iran known as a major urban center of the West Azerbaijan province and an important regional trade hub.
  • 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_69ffeba4479c81909f7d43e33f228f7e completed May 10, 2026, 2:21 a.m.
NEDg Description generation batch_69ffecb8c71481908b4913bb078b6415 completed May 10, 2026, 2:26 a.m.
NED2 Entity disambiguation (via description) batch_69ffed469a5c8190932fa4ebc44358c4 completed May 10, 2026, 2:28 a.m.
Created at: April 10, 2026, 5 a.m.