Triple

T20672811
Position Surface form Disambiguated ID Type / Status
Subject M4 motorway (Hungary) E508072 entity
Predicate passesNear P416 FINISHED
Object Cegléd 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: Cegléd | Statement: [M4 motorway (Hungary), passesNear, Cegléd]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cegléd
Context triple: [M4 motorway (Hungary), passesNear, Cegléd]
  • A. Cegléd chosen
    Cegléd is a historic town in central Hungary known for its spa culture, agricultural markets, and role as a regional transport hub.
  • B. Trencsén
    Trencsén is a historic town in present-day Slovakia, known for its medieval castle and its role as an important regional center in the former Upper Hungary.
  • C. Zólyom
    Zólyom is the historical Hungarian name for the Slovak town of Zvolen, an important medieval center in central Slovakia.
  • D. Csákvár
    Csákvár is a small town in central Hungary known for its rural character and location within the Transdanubian region.
  • E. Hollókő
    Hollókő is a UNESCO World Heritage-listed Hungarian village renowned for its well-preserved traditional Palóc architecture and living rural culture.
  • 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_69e0b4c1164881909a3bf1e3ddb2bc32 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6b5cb1fc88190805f623e93a70368 completed April 20, 2026, 11:24 p.m.
Created at: April 16, 2026, 11:44 a.m.