Triple

T20737112
Position Surface form Disambiguated ID Type / Status
Subject Obluchensky District E509739 entity
Predicate hasUrbanTypeSettlement P40854 FINISHED
Object Bira
Bira is an urban-type settlement in Obluchensky District of the Jewish Autonomous Oblast in Russia.
E1448526 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: Bira | Statement: [Obluchensky District, hasUrbanTypeSettlement, Bira]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bira
Context triple: [Obluchensky District, hasUrbanTypeSettlement, Bira]
  • A. Bira
    Bira is a coastal village in South Sulawesi, Indonesia, renowned as a traditional boatbuilding center where skilled craftsmen construct the iconic wooden pinisi sailing ships.
  • B. Bottidda
    Bottidda is a small municipality in the historical Logudoro region of central-northern Sardinia, Italy.
  • C. Bica
    Bica is a party involved in the U.S. Supreme Court case De Canas v. Bica, which addressed state authority over the employment of undocumented immigrants.
  • D. Bica
    Bica is a historic Lisbon neighborhood known for its steep streets, traditional houses, and the iconic Elevador da Bica funicular.
  • E. Biga
    Biga is a town and district in Turkey’s Çanakkale Province, known for its agricultural economy and location near the Marmara Sea.
  • 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: Bira
Triple: [Obluchensky District, hasUrbanTypeSettlement, Bira]
Generated description
Bira is an urban-type settlement in Obluchensky District of the Jewish Autonomous Oblast in Russia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Bira
Target entity description: Bira is an urban-type settlement in Obluchensky District of the Jewish Autonomous Oblast in Russia.
  • A. Bira
    Bira is a coastal village in South Sulawesi, Indonesia, renowned as a traditional boatbuilding center where skilled craftsmen construct the iconic wooden pinisi sailing ships.
  • B. Bottidda
    Bottidda is a small municipality in the historical Logudoro region of central-northern Sardinia, Italy.
  • C. Bica
    Bica is a party involved in the U.S. Supreme Court case De Canas v. Bica, which addressed state authority over the employment of undocumented immigrants.
  • D. Bica
    Bica is a historic Lisbon neighborhood known for its steep streets, traditional houses, and the iconic Elevador da Bica funicular.
  • E. Biga
    Biga is a town and district in Turkey’s Çanakkale Province, known for its agricultural economy and location near the Marmara Sea.
  • 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_69e0b4c589c08190834fb5d86d0efa2b completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c20ac6e881908524be890be699e7 completed April 21, 2026, 12:17 a.m.
NED1 Entity disambiguation (via context triple) batch_6a08e8378f988190916d497b136ffcf1 completed May 16, 2026, 9:57 p.m.
NEDg Description generation batch_6a08e8fc1d6c819083f06debaa3bec24 completed May 16, 2026, 10 p.m.
NED2 Entity disambiguation (via description) batch_6a08e98a594c8190b3a2d9ae7e3af4f7 completed May 16, 2026, 10:02 p.m.
Created at: April 16, 2026, 12:32 p.m.