Triple

T20719289
Position Surface form Disambiguated ID Type / Status
Subject Agos River E509265 entity
Predicate locatedIn P40 FINISHED
Object Aurora Province NE NERFINISHED

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: Aurora Province | Statement: [Agos River, locatedIn, Aurora Province]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aurora Province
Context triple: [Agos River, locatedIn, Aurora Province]
  • A. Aurora Province chosen
    Aurora Province is a coastal province in Central Luzon, Philippines, known for its Pacific shoreline, surfing spots, and mountainous rainforest landscapes.
  • B. Ilo Province
    Ilo Province is a coastal administrative division in southern Peru known for its port city of Ilo and its role in the Moquegua Region’s mining and maritime economy.
  • C. Cutervo Province
    Cutervo Province is an administrative subdivision in northern Peru known for its mountainous terrain, rural communities, and proximity to the Cutervo National Park.
  • D. Almeidas Province
    Almeidas Province is an administrative subdivision of the Cundinamarca Department in central Colombia, comprising several municipalities in the Andean highlands.
  • E. Isabel Province
    Isabel Province is a largely rural island province in the Solomon Islands, known for its mountainous terrain, traditional villages, and rich marine and forest biodiversity.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4c4cc648190b45fda6e2b20af56 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c1d4de6c81908f8c98c2f1e70cc4 completed April 21, 2026, 12:16 a.m.
Created at: April 16, 2026, 12:26 p.m.