Triple

T16632947
Position Surface form Disambiguated ID Type / Status
Subject Zangilan District E404120 entity
Predicate capital P234 FINISHED
Object Zangilan
Zangilan is a town in southwestern Azerbaijan that serves as an administrative and transport hub near the borders with Armenia and Iran.
 E1229253 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: Zangilan | Statement: [Zangilan District, capital, Zangilan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Zangilan
Context triple: [Zangilan District, capital, Zangilan]
  • A. Bazarduzu
    Bazarduzu is the highest mountain in Azerbaijan, located in the Greater Caucasus range on the border with Russia.
  • B. Balakan
    Balakan is a town and district center in northwestern Azerbaijan, near the border with Georgia and Russia, known for its mountainous landscapes and agricultural production.
  • C. Orakzais
    The Orakzais are a Pashtun tribal group primarily inhabiting the Orakzai District and surrounding Tirah Valley region in northwestern Pakistan.
  • D. Jalalaqsi
    Jalalaqsi is a town in central Somalia that serves as a local administrative and commercial center within the Hirshabelle State.
  • E. Bakhdida
    Bakhdida is a historically Assyrian Christian town in northern Iraq, known for its ancient churches and location in the Nineveh Plains near Mosul.
  • 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: Zangilan
Triple: [Zangilan District, capital, Zangilan]
Generated description
Zangilan is a town in southwestern Azerbaijan that serves as an administrative and transport hub near the borders with Armenia and Iran.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Zangilan
Target entity description: Zangilan is a town in southwestern Azerbaijan that serves as an administrative and transport hub near the borders with Armenia and Iran.
  • A. Bazarduzu
    Bazarduzu is the highest mountain in Azerbaijan, located in the Greater Caucasus range on the border with Russia.
  • B. Balakan
    Balakan is a town and district center in northwestern Azerbaijan, near the border with Georgia and Russia, known for its mountainous landscapes and agricultural production.
  • C. Orakzais
    The Orakzais are a Pashtun tribal group primarily inhabiting the Orakzai District and surrounding Tirah Valley region in northwestern Pakistan.
  • D. Jalalaqsi
    Jalalaqsi is a town in central Somalia that serves as a local administrative and commercial center within the Hirshabelle State.
  • E. Bakhdida
    Bakhdida is a historically Assyrian Christian town in northern Iraq, known for its ancient churches and location in the Nineveh Plains near Mosul.
  • 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_69d883897eb481909eaaa088ba9918d9 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e378e7d4a48190a9b4a14ecbb2a14b completed April 18, 2026, 12:28 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00918c998c81909b98d4fa9a8dbe3d completed May 10, 2026, 2:09 p.m.
NEDg Description generation batch_6a00925fda608190b3674bd5e9ca6bf5 completed May 10, 2026, 2:12 p.m.
NED2 Entity disambiguation (via description) batch_6a00939075d88190a63cdd942eb3fea8 completed May 10, 2026, 2:17 p.m.
Created at: April 10, 2026, 5:17 a.m.