Triple

T12521504
Position Surface form Disambiguated ID Type / Status
Subject Sila E299329 entity
Predicate hasPart P35 FINISHED
Object Sila National Park E299331 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: Sila National Park | Statement: [Sila, hasPart, Sila National Park]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sila National Park
Context triple: [Sila, hasPart, Sila National Park]
  • A. Sila National Park chosen
    Sila National Park is a protected natural area in southern Italy known for its ancient forests, mountain plateaus, and rich biodiversity.
  • B. Salawin National Park
    Salawin National Park is a forested protected area in northwestern Thailand known for its rugged mountains, rich biodiversity, and location along the Salween River bordering Myanmar.
  • C. Than Bok Khorani National Park
    Than Bok Khorani National Park is a coastal national park in southern Thailand known for its limestone cliffs, mangrove forests, islands, caves, and emerald-green pools.
  • D. Mu Ko Lanta National Park
    Mu Ko Lanta National Park is a protected marine and coastal area in southern Thailand renowned for its tropical islands, coral reefs, beaches, and diverse wildlife.
  • E. Reisa National Park
    Reisa National Park is a protected wilderness area in northern Norway known for its deep river canyon, waterfalls, and rugged Arctic landscapes.
  • 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_69d6ada5cdd48190860d9ce30aff69be completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d9545b2b2481909049a490c97678f2 completed April 10, 2026, 7:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69f64bbf43e08190ae79f92ed5882ce2 completed May 2, 2026, 7:08 p.m.
Created at: April 8, 2026, 9:57 p.m.