Triple

T12646311
Position Surface form Disambiguated ID Type / Status
Subject Kaikōura District E302031 entity
Predicate hasSettlement P1068 FINISHED
Object Peketa
Peketa is a small coastal settlement in New Zealand’s South Island, located just south of the town of Kaikōura.
E994356 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: Peketa | Statement: [Kaikōura District, hasSettlement, Peketa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Peketa
Context triple: [Kaikōura District, hasSettlement, Peketa]
  • A. Pekar
    Pekar is a surname of Central or Eastern European origin, notably associated with several cultural and artistic figures.
  • B. Pekat
    Pekat is a settlement on the Indonesian island of Sumbawa that was devastated by the catastrophic 1815 eruption of Mount Tambora.
  • C. Pecile
    Pecile is a large colonnaded garden and pool complex within Hadrian’s Villa at Tivoli, designed as a central courtyard for leisure, reflection, and display of imperial grandeur.
  • D. Petauke
    Petauke is a town in eastern Zambia that serves as an important commercial and transport hub for the surrounding rural region.
  • E. Kokapet
    Kokapet is a rapidly developing suburban locality in the western part of Hyderabad, India, known for its emerging IT, commercial, and residential hubs.
  • 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: Peketa
Triple: [Kaikōura District, hasSettlement, Peketa]
Generated description
Peketa is a small coastal settlement in New Zealand’s South Island, located just south of the town of Kaikōura.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Peketa
Target entity description: Peketa is a small coastal settlement in New Zealand’s South Island, located just south of the town of Kaikōura.
  • A. Pekar
    Pekar is a surname of Central or Eastern European origin, notably associated with several cultural and artistic figures.
  • B. Pekat
    Pekat is a settlement on the Indonesian island of Sumbawa that was devastated by the catastrophic 1815 eruption of Mount Tambora.
  • C. Pecile
    Pecile is a large colonnaded garden and pool complex within Hadrian’s Villa at Tivoli, designed as a central courtyard for leisure, reflection, and display of imperial grandeur.
  • D. Petauke
    Petauke is a town in eastern Zambia that serves as an important commercial and transport hub for the surrounding rural region.
  • E. Kokapet
    Kokapet is a rapidly developing suburban locality in the western part of Hyderabad, India, known for its emerging IT, commercial, and residential hubs.
  • 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_69d7bdec9f9c8190b4bac675b7588211 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d9614cefdc81908cfc4a4d04aa6eda completed April 10, 2026, 8:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6687961d88190a605f17425ad7547 completed May 2, 2026, 9:11 p.m.
NEDg Description generation batch_69f6695372688190b09a2bb2e58cb546 completed May 2, 2026, 9:14 p.m.
NED2 Entity disambiguation (via description) batch_69f669fe4bc48190adba50ad58b10c45 completed May 2, 2026, 9:17 p.m.
Created at: April 9, 2026, 5:17 p.m.