Triple

T1345490
Position Surface form Disambiguated ID Type / Status
Subject Car Nicobar E28560 entity
Predicate hasSettlement P1068 FINISHED
Object Perka
Perka is a small settlement located on Car Nicobar Island in the Nicobar district of India’s Andaman and Nicobar Islands.
 E153480 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: Perka | Statement: [Car Nicobar, hasSettlement, Perka]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Perka
Context triple: [Car Nicobar, hasSettlement, Perka]
  • A. Peperga
    Peperga is a small village in the Netherlands best known as the birthplace of Dutch colonial governor Peter Stuyvesant.
  • B. Pernå
    Pernå is a historic former municipality in southern Finland, known as the birthplace of Mikael Agricola, the father of written Finnish.
  • C. Grocka
    Grocka is a suburban municipality of Belgrade in Serbia, known for its agricultural production, especially fruit growing, and its location along the Danube River.
  • D. Golus
    Golus is a Yiddish term referring to the Jewish exile and dispersion from their ancestral homeland, encompassing both the physical diaspora and its spiritual-historical implications.
  • E. Lipara
    Lipara is one of the Hesperides, the nymphs of Greek mythology associated with the evening and the golden apples of the gods.
  • 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: Perka
Triple: [Car Nicobar, hasSettlement, Perka]
Generated description
Perka is a small settlement located on Car Nicobar Island in the Nicobar district of India’s Andaman and Nicobar Islands.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Perka
Target entity description: Perka is a small settlement located on Car Nicobar Island in the Nicobar district of India’s Andaman and Nicobar Islands.
  • A. Peperga
    Peperga is a small village in the Netherlands best known as the birthplace of Dutch colonial governor Peter Stuyvesant.
  • B. Pernå
    Pernå is a historic former municipality in southern Finland, known as the birthplace of Mikael Agricola, the father of written Finnish.
  • C. Grocka
    Grocka is a suburban municipality of Belgrade in Serbia, known for its agricultural production, especially fruit growing, and its location along the Danube River.
  • D. Golus
    Golus is a Yiddish term referring to the Jewish exile and dispersion from their ancestral homeland, encompassing both the physical diaspora and its spiritual-historical implications.
  • E. Lipara
    Lipara is one of the Hesperides, the nymphs of Greek mythology associated with the evening and the golden apples of the gods.
  • 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_69a49854eb3481908c7d56b2e449a290 completed March 1, 2026, 7:49 p.m.
NER Named-entity recognition batch_69a4c23e84188190b0395c57dd45b62a completed March 1, 2026, 10:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69acc6351cbc81909e2ffc692ee92b54 completed March 8, 2026, 12:43 a.m.
NEDg Description generation batch_69acc6af0db88190a02936072783553e completed March 8, 2026, 12:45 a.m.
NED2 Entity disambiguation (via description) batch_69acc722d8608190acbef82f180b75d1 completed March 8, 2026, 12:47 a.m.
Created at: March 1, 2026, 7:56 p.m.