Triple

T22697298
Position Surface form Disambiguated ID Type / Status
Subject Lăpuș River E561215 entity
Predicate passesBy P3947 FINISHED
Object Seini 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: Seini | Statement: [Lăpuș River, passesBy, Seini]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Seini
Context triple: [Lăpuș River, passesBy, Seini]
  • A. Seini chosen
    Seini is a small town in northwestern Romania, known for its industrial activities and location near the Lăpuș River in Maramureș County.
  • B. Seiyo
    Seiyo is a city located in western Shikoku, Japan, known for its rural landscapes, terraced fields, and coastal scenery along the Uwa Sea.
  • C. Sennori
    Sennori is a town in northern Sardinia, Italy, known for its Sardinian (Sassarese) linguistic and cultural traditions.
  • D. Seira
    Seira is one of the islands in Indonesia’s remote Tanimbar archipelago in the Maluku province.
  • E. Seia
    Seia is a municipality and town in central Portugal known for its proximity to the Serra da Estrela mountains and natural park.
  • 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_69e2454e615481909c177440be559d2c completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f1789f26848190bcc5a99e3ed909e7 completed April 29, 2026, 3:18 a.m.
Created at: April 17, 2026, 3:14 p.m.