Triple

T15928946
Position Surface form Disambiguated ID Type / Status
Subject Lake Poso E386273 entity
Predicate locatedInHighland P24755 FINISHED
Object Poso highlands E384823 NE FINISHED

How this triple was built (2 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: Poso highlands | Statement: [Lake Poso, locatedInHighland, Poso highlands]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Poso highlands
Context triple: [Lake Poso, locatedInHighland, Poso highlands]
  • A. Poso chosen
    Poso is a town and regency capital in Central Sulawesi, Indonesia, known historically as a regional administrative and trading center and more recently for episodes of communal conflict.
  • B. Minangkabau Highlands
    The Minangkabau Highlands is a mountainous region in West Sumatra, Indonesia, known as the cultural and historical heartland of the Minangkabau people and their matrilineal society.
  • C. Minahasa Highlands
    The Minahasa Highlands is a mountainous region in North Sulawesi, Indonesia, known for its cool climate, volcanic landscapes, and distinct Minahasan culture.
  • D. Lahan
    Lahan is a municipality and commercial hub in southeastern Nepal known for its role as a regional trade and transport center.
  • E. Tinogasta
    Tinogasta is a town in northwestern Argentina known for its wine production, hot springs, and location along the Andean mountain routes in Catamarca Province.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d86da750008190987eb26be3f6c118 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e156a39abc8190927818f6e185033a completed April 16, 2026, 9:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffb5b0833081909668c042234b5b75 completed May 9, 2026, 10:31 p.m.
Created at: April 10, 2026, 4:52 a.m.