Triple

T6505114
Position Surface form Disambiguated ID Type / Status
Subject Southeast Sulawesi E149987 entity
Predicate hasCity P316 FINISHED
Object Langara
Langara is a town located in the Indonesian province of Southeast Sulawesi.
E600659 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: Langara | Statement: [Southeast Sulawesi, hasCity, Langara]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Langara
Context triple: [Southeast Sulawesi, hasCity, Langara]
  • A. Tagish
    Tagish is an endangered Athabaskan Indigenous language traditionally spoken by the Tagish people of southern Yukon in northwestern Canada.
  • B. Chilliwack
    Chilliwack is a city in British Columbia, Canada, known for its agricultural surroundings, outdoor recreation, and location in the Fraser Valley east of Vancouver.
  • C. Powell River
    Powell River is a tributary waterway in the southeastern United States that flows through parts of Virginia and Tennessee before joining the Clinch River.
  • D. Mount Columbia
    Mount Columbia is a prominent fourteener in central Colorado, known for its challenging ascent and inclusion among the Collegiate Peaks of the Rocky Mountains.
  • E. Mount Columbia
    Mount Columbia is the highest peak in Alberta, Canada, and a prominent glaciated summit in the Canadian Rockies.
  • 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: Langara
Triple: [Southeast Sulawesi, hasCity, Langara]
Generated description
Langara is a town located in the Indonesian province of Southeast Sulawesi.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Langara
Target entity description: Langara is a town located in the Indonesian province of Southeast Sulawesi.
  • A. Tagish
    Tagish is an endangered Athabaskan Indigenous language traditionally spoken by the Tagish people of southern Yukon in northwestern Canada.
  • B. Chilliwack
    Chilliwack is a city in British Columbia, Canada, known for its agricultural surroundings, outdoor recreation, and location in the Fraser Valley east of Vancouver.
  • C. Powell River
    Powell River is a tributary waterway in the southeastern United States that flows through parts of Virginia and Tennessee before joining the Clinch River.
  • D. Mount Columbia
    Mount Columbia is a prominent fourteener in central Colorado, known for its challenging ascent and inclusion among the Collegiate Peaks of the Rocky Mountains.
  • E. Mount Columbia
    Mount Columbia is the highest peak in Alberta, Canada, and a prominent glaciated summit in the Canadian Rockies.
  • 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.