Triple

T6505102
Position Surface form Disambiguated ID Type / Status
Subject Southeast Sulawesi E149987 entity
Predicate hasCity P316 FINISHED
Object Unaaha
Unaaha is a town in Indonesia that serves as an administrative and population center within the province of Southeast Sulawesi.
E600649 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: Unaaha | Statement: [Southeast Sulawesi, hasCity, Unaaha]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Unaaha
Context triple: [Southeast Sulawesi, hasCity, Unaaha]
  • A. Mahuva
    Mahuva is a coastal town in Gujarat, India, known for its onion production, coconut plantations, and scenic beaches along the Arabian Sea.
  • B. Kaa
    Kaa is a giant, hypnotic python who serves as a dangerous and manipulative predator in Disney’s live-action adaptation of The Jungle Book.
  • C. Natata
    Natata is a small settlement located on Butaritari Atoll in the Pacific island nation of Kiribati.
  • D. Nahalin
    Nahalin is a Palestinian village located southwest of Bethlehem in the central West Bank, known for its agricultural terraces and surrounding olive and grape orchards.
  • E. Yahi
    The Yahi were a small Native American group from northern California, known for being among the last surviving independent Indigenous peoples in the region and for the story of Ishi, their last known member.
  • 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: Unaaha
Triple: [Southeast Sulawesi, hasCity, Unaaha]
Generated description
Unaaha is a town in Indonesia that serves as an administrative and population center within the province of Southeast Sulawesi.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Unaaha
Target entity description: Unaaha is a town in Indonesia that serves as an administrative and population center within the province of Southeast Sulawesi.
  • A. Mahuva
    Mahuva is a coastal town in Gujarat, India, known for its onion production, coconut plantations, and scenic beaches along the Arabian Sea.
  • B. Kaa
    Kaa is a giant, hypnotic python who serves as a dangerous and manipulative predator in Disney’s live-action adaptation of The Jungle Book.
  • C. Natata
    Natata is a small settlement located on Butaritari Atoll in the Pacific island nation of Kiribati.
  • D. Nahalin
    Nahalin is a Palestinian village located southwest of Bethlehem in the central West Bank, known for its agricultural terraces and surrounding olive and grape orchards.
  • E. Yahi
    The Yahi were a small Native American group from northern California, known for being among the last surviving independent Indigenous peoples in the region and for the story of Ishi, their last known member.
  • 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_69c687ef291081909d437f035eef1cda completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c69966ff708190902c88cb6b48e5d7 completed March 27, 2026, 2:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6cb43db608190b785e77f6850bb6f completed March 27, 2026, 6:24 p.m.
NEDg Description generation batch_69c6cc96edd08190b0c0f1b49dd64160 completed March 27, 2026, 6:29 p.m.
NED2 Entity disambiguation (via description) batch_69c6cd8d15ec8190be5a8c5e3f201139 completed March 27, 2026, 6:33 p.m.
Created at: March 27, 2026, 1:43 p.m.