Triple

T20745277
Position Surface form Disambiguated ID Type / Status
Subject M30 motorway (Hungary) E510563 entity
Predicate passesNear P416 FINISHED
Object Encs 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: Encs | Statement: [M30 motorway (Hungary), passesNear, Encs]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Encs
Context triple: [M30 motorway (Hungary), passesNear, Encs]
  • A. Encs chosen
    Encs is a small town in northeastern Hungary that serves as a local administrative and commercial center within Borsod-Abaúj-Zemplén County.
  • B. ENC
    ENC is the Eastern Naval Command of the Indian Navy, responsible for overseeing naval operations and maritime security along India’s eastern seaboard.
  • C. ENC
    ENC (Electronic Navigational Chart) is a standardized digital chart database used in Electronic Chart Display and Information Systems (ECDIS) to support safe marine navigation.
  • D. ENC
    ENC is an FTP security extension command that provides data confidentiality by encrypting the contents of file transfers.
  • E. ENC
    ENC is a private Christian liberal arts college located in Quincy, Massachusetts, affiliated with the Church of the Nazarene.
  • 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_69e0b4c845e88190b4c5f3ae79291182 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c212b744819089bc1d47a020bd61 completed April 21, 2026, 12:17 a.m.
Created at: April 16, 2026, 12:33 p.m.