Triple

T2967027
Position Surface form Disambiguated ID Type / Status
Subject Sindhudurg E80190 entity
Predicate hasHeadquarters P62 FINISHED
Object Oros
Oros is a town in Maharashtra, India, that serves as an administrative and commercial center for the surrounding Sindhudurg district.
E314802 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: Oros | Statement: [Sindhudurg, hasHeadquarters, Oros]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oros
Context triple: [Sindhudurg, hasHeadquarters, Oros]
  • A. Oro
    Oro is an ethnic group indigenous to Nigeria’s Akwa Ibom State, known for its distinct language and coastal cultural heritage.
  • B. Colimes
    Colimes is a small town and canton in coastal Ecuador known for its agricultural activities within Guayas Province.
  • C. Ozian
    Ozian refers to a fictional inhabitant of the Land of Oz, the magical realm featured in L. Frank Baum’s Oz book series.
  • D. Celeirós
    Celeirós is a civil parish in the municipality of Sabrosa in northern Portugal, known for its traditional Douro wine production and historic rural landscape.
  • E. Teos
    Teos was an ancient Ionian Greek city on the western coast of Asia Minor, known as the hometown of the lyric poet Anacreon.
  • 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: Oros
Triple: [Sindhudurg, hasHeadquarters, Oros]
Generated description
Oros is a town in Maharashtra, India, that serves as an administrative and commercial center for the surrounding Sindhudurg district.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Oros
Target entity description: Oros is a town in Maharashtra, India, that serves as an administrative and commercial center for the surrounding Sindhudurg district.
  • A. Oro
    Oro is an ethnic group indigenous to Nigeria’s Akwa Ibom State, known for its distinct language and coastal cultural heritage.
  • B. Colimes
    Colimes is a small town and canton in coastal Ecuador known for its agricultural activities within Guayas Province.
  • C. Ozian
    Ozian refers to a fictional inhabitant of the Land of Oz, the magical realm featured in L. Frank Baum’s Oz book series.
  • D. Celeirós
    Celeirós is a civil parish in the municipality of Sabrosa in northern Portugal, known for its traditional Douro wine production and historic rural landscape.
  • E. Teos
    Teos was an ancient Ionian Greek city on the western coast of Asia Minor, known as the hometown of the lyric poet Anacreon.
  • 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_69ad8b14ffe881908ffed62f9595c867 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad996e93788190ba9883714d4dfa0c completed March 8, 2026, 3:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69b0fc9fcfa48190a5e23ec1f3f01038 completed March 11, 2026, 5:24 a.m.
NEDg Description generation batch_69b100c1bfd48190ab71f460afb096e3 completed March 11, 2026, 5:42 a.m.
NED2 Entity disambiguation (via description) batch_69b10126bd788190b40f3ce1a8a547aa completed March 11, 2026, 5:44 a.m.
Created at: March 8, 2026, 2:58 p.m.