Triple

T13114249
Position Surface form Disambiguated ID Type / Status
Subject Arapesh E311052 entity
Predicate locatedIn P40 FINISHED
Object Sandaun Province E423432 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: Sandaun Province | Statement: [Arapesh, locatedIn, Sandaun Province]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sandaun Province
Context triple: [Arapesh, locatedIn, Sandaun Province]
  • A. Sandaun Province chosen
    Sandaun Province is a remote northwestern province of Papua New Guinea, bordering Indonesia and the Bismarck Sea and known for its diverse indigenous cultures and riverine landscapes.
  • B. Pyongan Province
    Pyongan Province was a historical administrative region of northwestern Korea, encompassing areas that now lie largely within modern-day North Korea.
  • C. Hither Province
    Hither Province was a historical administrative region associated with the ancient Greek city-state of Pylos.
  • D. Darlac Province
    Darlac Province was a former administrative region in Vietnam’s Central Highlands, historically known for its diverse indigenous populations and extensive coffee-growing highlands.
  • E. Sulu Province
    Sulu Province is an island province in the southwestern Philippines, known for its predominantly Muslim population, rich maritime culture, and role as a historical center of the Sultanate of Sulu.
  • 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_69d806a872d08190a329806f8ff30df4 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d9817f8ee8819084078b4bec5e4f18 completed April 10, 2026, 11:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6f5d205408190883b67739d5efaa7 completed May 3, 2026, 7:14 a.m.
Created at: April 9, 2026, 9:06 p.m.