Triple

T36724302
Position Surface form Disambiguated ID Type / Status
Subject Binagadi District E907151 entity
Predicate hasUrbanNeighborhood P30030 FINISHED
Object Binagadi settlement
Binagadi settlement is an urban neighborhood within the Binagadi District of Baku, Azerbaijan, known as a residential and industrial area of the city.
 E2196121 NE FINISHED

How this triple was built (3 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: Binagadi settlement | Statement: [Binagadi District, hasUrbanNeighborhood, Binagadi settlement]
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: Binagadi settlement
Triple: [Binagadi District, hasUrbanNeighborhood, Binagadi settlement]
Generated description
Binagadi settlement is an urban neighborhood within the Binagadi District of Baku, Azerbaijan, known as a residential and industrial area of the city.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: hasUrbanNeighborhood
Context triple: [Binagadi District, hasUrbanNeighborhood, Binagadi settlement]
  • A. isUrbanNeighborhood chosen
    Indicates that a given area functions as a neighborhood located within an urban or city environment.
  • B. hasUrbanSectionsIn
    Indicates that an entity includes or contains sections that are classified as urban within a specified area or region.
  • C. isUrbanDistrict
    Indicates that a given district is classified as an urban administrative or residential area rather than a rural one.
  • D. hasUrbanDistrictFunction
    Indicates that an entity serves the administrative or functional role of an urban district within a larger territorial or governance structure.
  • E. hasUrbanAreaCharacter
    Indicates that something possesses qualities, features, or conditions typical of an urban area.
  • F. None of above.

Provenance (6 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_69f76e746e4c8190a0d05cc6d57a643e completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69f7c9f5a8848190ba956ff27f44e396 completed May 3, 2026, 10:19 p.m.
NED1 Entity disambiguation (via context triple) batch_6a3a383b45288190acb3c8a172c3ebf8 completed June 23, 2026, 7:39 a.m.
NEDg Description generation batch_6a3a392dc8488190828dcdbcddbf5c68 completed June 23, 2026, 7:43 a.m.
NED2 Entity disambiguation (via description) batch_6a3a407600f8819087033b75106fc5c2 completed June 23, 2026, 8:14 a.m.
PD Predicate disambiguation batch_69f7c8999a348190abc1895eaa6e036d completed May 3, 2026, 10:13 p.m.
Created at: May 3, 2026, 4:12 p.m.