Triple

T21456175
Position Surface form Disambiguated ID Type / Status
Subject Central Azerbaijan E529344 entity
Predicate hasCity P316 FINISHED
Object Ujar
Ujar is a town and administrative center in central Azerbaijan known for its role as a regional transport and agricultural hub.
 E1485359 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: Ujar | Statement: [Central Azerbaijan, hasCity, Ujar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ujar
Context triple: [Central Azerbaijan, hasCity, Ujar]
  • A. Uzairue
    Uzairue is a town in Edo State, Nigeria, known for hosting Edo State University and serving as a local educational and administrative center.
  • B. Uyar
    Uyar is a Turkish surname most notably associated with the influential modernist poet Turgut Uyar.
  • C. Uyugan
    Uyugan is a small coastal municipality in the province of Batanes in the northern Philippines, known for its traditional stone houses, rolling hills, and rugged seascapes.
  • D. Ukaan
    Ukaan is a little-documented Niger-Congo language spoken by a small community in southwestern Nigeria.
  • E. Ugbaru
    Ugbaru was an ancient Near Eastern military leader, often identified with Gubaru, who played a key role in the Persian conquest of Babylon in the 6th century BCE.
  • 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: Ujar
Triple: [Central Azerbaijan, hasCity, Ujar]
Generated description
Ujar is a town and administrative center in central Azerbaijan known for its role as a regional transport and agricultural hub.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ujar
Target entity description: Ujar is a town and administrative center in central Azerbaijan known for its role as a regional transport and agricultural hub.
  • A. Uzairue
    Uzairue is a town in Edo State, Nigeria, known for hosting Edo State University and serving as a local educational and administrative center.
  • B. Uyar
    Uyar is a Turkish surname most notably associated with the influential modernist poet Turgut Uyar.
  • C. Uyugan
    Uyugan is a small coastal municipality in the province of Batanes in the northern Philippines, known for its traditional stone houses, rolling hills, and rugged seascapes.
  • D. Ukaan
    Ukaan is a little-documented Niger-Congo language spoken by a small community in southwestern Nigeria.
  • E. Ugbaru
    Ugbaru was an ancient Near Eastern military leader, often identified with Gubaru, who played a key role in the Persian conquest of Babylon in the 6th century BCE.
  • 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.