Triple

T14554545
Position Surface form Disambiguated ID Type / Status
Subject Iraq-i Ajam E341504 entity
Predicate hasMajorCity P316 FINISHED
Object Dinavar
Dinavar was an important medieval town and cultural center in western Iran, known for its role in early Islamic scholarship and administration.
E1106353 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: Dinavar | Statement: [Iraq-i Ajam, hasMajorCity, Dinavar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dinavar
Context triple: [Iraq-i Ajam, hasMajorCity, Dinavar]
  • A. Shandar
    Shandar was a French avant-garde record label known for releasing experimental and free jazz recordings in the 1970s.
  • B. Dalir
    Dalir is a historical district in western Iceland known for its early settlement farms and associations with medieval Icelandic sagas and figures.
  • C. Khvarshi
    Khvarshi is a Northeast Caucasian language spoken by a small ethnic community in Dagestan, Russia.
  • D. Akhras
    Akhras is a Syrian-origin family name best known for being the maiden surname of Asma al-Assad, the First Lady of Syria.
  • E. Dargwa
    Dargwa is a Northeast Caucasian language spoken primarily by the Dargin people in the Republic of Dagestan, Russia.
  • 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: Dinavar
Triple: [Iraq-i Ajam, hasMajorCity, Dinavar]
Generated description
Dinavar was an important medieval town and cultural center in western Iran, known for its role in early Islamic scholarship and administration.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Dinavar
Target entity description: Dinavar was an important medieval town and cultural center in western Iran, known for its role in early Islamic scholarship and administration.
  • A. Shandar
    Shandar was a French avant-garde record label known for releasing experimental and free jazz recordings in the 1970s.
  • B. Dalir
    Dalir is a historical district in western Iceland known for its early settlement farms and associations with medieval Icelandic sagas and figures.
  • C. Khvarshi
    Khvarshi is a Northeast Caucasian language spoken by a small ethnic community in Dagestan, Russia.
  • D. Akhras
    Akhras is a Syrian-origin family name best known for being the maiden surname of Asma al-Assad, the First Lady of Syria.
  • E. Dargwa
    Dargwa is a Northeast Caucasian language spoken primarily by the Dargin people in the Republic of Dagestan, Russia.
  • 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_69d822db9c8481908213ceb39585f792 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb2f00cec8190a7b6482d18b9a216 completed April 14, 2026, 9:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd8ab9a5ac81908779a3c8701353fa completed May 8, 2026, 7:03 a.m.
NEDg Description generation batch_69fd8be7d8988190807d4db477b91de0 completed May 8, 2026, 7:08 a.m.
NED2 Entity disambiguation (via description) batch_69fd8d4f2e848190a3c4c423c0ffed50 completed May 8, 2026, 7:14 a.m.
Created at: April 10, 2026, 1:23 a.m.