Triple

T9645297
Position Surface form Disambiguated ID Type / Status
Subject Khachmaz District E233177 entity
Predicate hasSettlement P1068 FINISHED
Object Nabran
Nabran is a popular coastal resort village in northeastern Azerbaijan known for its beaches, forests, and tourist facilities along the Caspian Sea.
 E812140 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: Nabran | Statement: [Khachmaz District, hasSettlement, Nabran]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Nabran
Context triple: [Khachmaz District, hasSettlement, Nabran]
  • A. Nabeina
    Nabeina is a small village located on Tarawa Atoll in the Pacific island nation of Kiribati.
  • B. Nujaba
    Nujaba refers to a spiritual rank or class of saints in Islamic mysticism, regarded as righteous and divinely aided individuals of high but not supreme spiritual status.
  • C. Naju
    Naju is a historic city in South Korea known for its pear cultivation and location in the southwestern province of South Jeolla.
  • D. Nuzha
    Nuzha is a residential district in Kuwait City known for its quiet neighborhoods and local amenities.
  • E. Nalik
    Nalik is an Austronesian language spoken by a small community in New Ireland, Papua New Guinea.
  • 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: Nabran
Triple: [Khachmaz District, hasSettlement, Nabran]
Generated description
Nabran is a popular coastal resort village in northeastern Azerbaijan known for its beaches, forests, and tourist facilities along the Caspian Sea.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Nabran
Target entity description: Nabran is a popular coastal resort village in northeastern Azerbaijan known for its beaches, forests, and tourist facilities along the Caspian Sea.
  • A. Nabeina
    Nabeina is a small village located on Tarawa Atoll in the Pacific island nation of Kiribati.
  • B. Nujaba
    Nujaba refers to a spiritual rank or class of saints in Islamic mysticism, regarded as righteous and divinely aided individuals of high but not supreme spiritual status.
  • C. Naju
    Naju is a historic city in South Korea known for its pear cultivation and location in the southwestern province of South Jeolla.
  • D. Nuzha
    Nuzha is a residential district in Kuwait City known for its quiet neighborhoods and local amenities.
  • E. Nalik
    Nalik is an Austronesian language spoken by a small community in New Ireland, Papua New Guinea.
  • 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_69ca848b31648190b57aa55da20285be completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9b7fd2308190803a196ecdc80d76 completed April 1, 2026, 10:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69d18258489081909f0b328e223777fc completed April 4, 2026, 9:27 p.m.
NEDg Description generation batch_69d1842a39ac8190a43323c29316df08 completed April 4, 2026, 9:35 p.m.
NED2 Entity disambiguation (via description) batch_69d1849df0a481908777fa263fe8bd10 completed April 4, 2026, 9:37 p.m.
Created at: March 30, 2026, 8:12 p.m.