Triple

T16106777
Position Surface form Disambiguated ID Type / Status
Subject Bushehr Province E390758 entity
Predicate hasCity P316 FINISHED
Object Deylam
Deylam is a coastal city in southwestern Iran, located on the Persian Gulf in Bushehr Province.
 E1194337 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: Deylam | Statement: [Bushehr Province, hasCity, Deylam]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Deylam
Context triple: [Bushehr Province, hasCity, Deylam]
  • A. Daylam
    Daylam was a mountainous historical region in northern Iran, inhabited by the Daylamite people and known for its fierce warriors and relative autonomy from surrounding empires.
  • B. Dehgam
    Dehgam is a town in the Indian state of Gujarat that serves as a local commercial and administrative center within the Gandhinagar region.
  • C. Delaram
    Delaram is a town in southwestern Afghanistan that serves as a key transport hub linking major highways, including routes toward Iran and central Afghanistan.
  • D. Bakhdida
    Bakhdida is a historically Assyrian Christian town in northern Iraq, known for its ancient churches and location in the Nineveh Plains near Mosul.
  • E. Hazmieh
    Hazmieh is a suburban municipality southeast of Beirut, Lebanon, known for its residential neighborhoods, commercial centers, and strategic location near major highways.
  • 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: Deylam
Triple: [Bushehr Province, hasCity, Deylam]
Generated description
Deylam is a coastal city in southwestern Iran, located on the Persian Gulf in Bushehr Province.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Deylam
Target entity description: Deylam is a coastal city in southwestern Iran, located on the Persian Gulf in Bushehr Province.
  • A. Daylam
    Daylam was a mountainous historical region in northern Iran, inhabited by the Daylamite people and known for its fierce warriors and relative autonomy from surrounding empires.
  • B. Dehgam
    Dehgam is a town in the Indian state of Gujarat that serves as a local commercial and administrative center within the Gandhinagar region.
  • C. Delaram
    Delaram is a town in southwestern Afghanistan that serves as a key transport hub linking major highways, including routes toward Iran and central Afghanistan.
  • D. Bakhdida
    Bakhdida is a historically Assyrian Christian town in northern Iraq, known for its ancient churches and location in the Nineveh Plains near Mosul.
  • E. Hazmieh
    Hazmieh is a suburban municipality southeast of Beirut, Lebanon, known for its residential neighborhoods, commercial centers, and strategic location near major highways.
  • 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.