Triple

T12879699
Position Surface form Disambiguated ID Type / Status
Subject GR footpath network E308058 entity
Predicate hasPart P35 FINISHED
Object GR 65 E964250 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: GR 65 | Statement: [GR footpath network, hasPart, GR 65]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: GR 65
Context triple: [GR footpath network, hasPart, GR 65]
  • A. GR 65 chosen
    GR 65 is a long-distance hiking trail in France that largely follows one of the traditional pilgrimage routes of the Camino de Santiago.
  • B. GR-61
    GR-61 is the ISO 3166-2 subdivision code assigned to the Pieria regional unit in Greece.
  • C. GR-64
    GR-64 is the ISO 3166-2 regional code assigned to the Chalkidiki regional unit in Greece.
  • D. GR 76
    GR 76 is a long-distance hiking trail in France that forms part of the Grande Randonnée (GR) network of marked walking routes.
  • E. GR-42
    GR-42 is the ISO 3166-2 subdivision code assigned to the Larissa regional unit in Greece.
  • 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_69d7bdf69bc48190af6c2621f28ca351 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d970fc1e488190a0c48039f6213e62 completed April 10, 2026, 9:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f69bba33c081909c0050ff7b868a8e completed May 3, 2026, 12:50 a.m.
Created at: April 9, 2026, 5:39 p.m.