Triple

T10443439
Position Surface form Disambiguated ID Type / Status
Subject Warsaw suburban rail services E246224 entity
Predicate connectsTo P845 FINISHED
Object Wołomin E881705 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: Wołomin | Statement: [Warsaw suburban rail services, connectsTo, Wołomin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wołomin
Context triple: [Warsaw suburban rail services, connectsTo, Wołomin]
  • A. Wołomin chosen
    Wołomin is a town in east-central Poland that functions as a suburban community within the greater Warsaw metropolitan area.
  • B. 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.
  • C. Wołosate
    Wołosate is a small village in southeastern Poland’s Bieszczady Mountains, known as a remote hiking base and the terminus of the Main Beskid Trail.
  • D. Ciechanów
    Ciechanów is a historic town in east-central Poland, known as a regional center of the Mazovian area with a medieval castle and long-standing cultural traditions.
  • E. Ostrołęka
    Ostrołęka is a town in east-central Poland known for its historical role in the Napoleonic Wars and as a local industrial and administrative center.
  • 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_69d381c04fe08190957c26c526a3b05a completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4fdbd731c819084dfff83b4481ae8 completed April 7, 2026, 12:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7a82a0cf48190a201a533c7387512 completed May 3, 2026, 7:55 p.m.
Created at: April 6, 2026, 12:15 p.m.