Triple

T21456190
Position Surface form Disambiguated ID Type / Status
Subject Central Azerbaijan E529344 entity
Predicate hasCity P316 FINISHED
Object Neftchala
Neftchala is a city in southeastern Azerbaijan known for its oil industry and location near the Caspian Sea.
 E1485368 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: Neftchala | Statement: [Central Azerbaijan, hasCity, Neftchala]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Neftchala
Context triple: [Central Azerbaijan, hasCity, Neftchala]
  • A. Tchaman
    Tchaman is a Kwa language of the Central Tano branch spoken primarily by the Tchaman (Ébrié) people in southern Côte d’Ivoire.
  • B. Kachera
    Kachera are traditional cotton undergarments worn by initiated Sikhs as one of the Five Ks, symbolizing modesty, self-control, and readiness.
  • C. Teberda
    Teberda is a small town in the North Caucasus region of Russia, known as a gateway to the surrounding mountains and protected natural areas.
  • D. Zangilan
    Zangilan is a town in southwestern Azerbaijan that serves as an administrative and transport hub near the borders with Armenia and Iran.
  • E. Tiaret
    Tiaret is a historic city in northwestern Algeria known for its agricultural importance and nearby Roman and Islamic archaeological sites.
  • 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: Neftchala
Triple: [Central Azerbaijan, hasCity, Neftchala]
Generated description
Neftchala is a city in southeastern Azerbaijan known for its oil industry and location near the Caspian Sea.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Neftchala
Target entity description: Neftchala is a city in southeastern Azerbaijan known for its oil industry and location near the Caspian Sea.
  • A. Tchaman
    Tchaman is a Kwa language of the Central Tano branch spoken primarily by the Tchaman (Ébrié) people in southern Côte d’Ivoire.
  • B. Kachera
    Kachera are traditional cotton undergarments worn by initiated Sikhs as one of the Five Ks, symbolizing modesty, self-control, and readiness.
  • C. Teberda
    Teberda is a small town in the North Caucasus region of Russia, known as a gateway to the surrounding mountains and protected natural areas.
  • D. Zangilan
    Zangilan is a town in southwestern Azerbaijan that serves as an administrative and transport hub near the borders with Armenia and Iran.
  • E. Tiaret
    Tiaret is a historic city in northwestern Algeria known for its agricultural importance and nearby Roman and Islamic archaeological sites.
  • 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_69e0c458133481908ae8b41a12c4edec completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e9e9d6da3c819082a495f5434c5554 completed April 23, 2026, 9:43 a.m.
NED1 Entity disambiguation (via context triple) batch_6a09c90ebd488190ab2ee8f8af98d1ae completed May 17, 2026, 1:56 p.m.
NEDg Description generation batch_6a09c9a6b84881908f9193b89ded7361 completed May 17, 2026, 1:59 p.m.
NED2 Entity disambiguation (via description) batch_6a09caa391588190808eb3dcaff07803 completed May 17, 2026, 2:03 p.m.
Created at: April 16, 2026, 6:08 p.m.