Triple

T11682846
Position Surface form Disambiguated ID Type / Status
Subject Podlaskie Voivodeship E277661 entity
Predicate containsCity P294 FINISHED
Object Łomża E940098 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: Łomża | Statement: [Podlaskie Voivodeship, containsCity, Łomża]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Łomża
Context triple: [Podlaskie Voivodeship, containsCity, Łomża]
  • A. Łomża chosen
    Łomża is a historic town in northeastern Poland known for its picturesque setting near the Narew River and its regional cultural significance.
  • B. Wołomin
    Wołomin is a town in east-central Poland that functions as a suburban community within the greater Warsaw metropolitan area.
  • C. Radom
    Radom is a city in central Poland known as an important regional industrial and cultural center.
  • D. Białogard
    Białogard is a historic town in northwestern Poland, located in the West Pomeranian Voivodeship on the Parsęta River.
  • E. Pułtusk
    Pułtusk is a historic town in east-central Poland, known for its medieval heritage and its role as the site of several significant battles, including during the Napoleonic Wars.
  • 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_69d6aafd0a448190b44da30af8c6c519 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a462bb2881909238107d34c0a28d completed April 10, 2026, 7:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffbe5eeba08190849171d079745d1a completed May 9, 2026, 11:08 p.m.
Created at: April 8, 2026, 9:40 p.m.