Triple

T12879697
Position Surface form Disambiguated ID Type / Status
Subject GR footpath network E308058 entity
Predicate hasPart P35 FINISHED
Object GR 10 E288738 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 10 | Statement: [GR footpath network, hasPart, GR 10]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: GR 10
Context triple: [GR footpath network, hasPart, GR 10]
  • A. GR 10 chosen
    GR 10 is a long-distance hiking trail that traverses the French side of the Pyrenees from the Atlantic Ocean to the Mediterranean Sea.
  • B. GR 11
    GR 11 is a long-distance hiking trail that traverses the Spanish side of the Pyrenees from the Atlantic Ocean to the Mediterranean Sea.
  • C. GR10
    GR10 is a renowned long-distance hiking trail that traverses the French Pyrenees from the Atlantic Ocean to the Mediterranean Sea.
  • D. GR 1
    GR 1 is a long-distance hiking trail in France that forms part of the Grande Randonnée network, typically used for multi-day trekking through varied natural landscapes.
  • E. GR 9
    GR 9 is a long-distance hiking trail in France that forms part of the Grande Randonnée network, running roughly from the Atlantic coast toward the Mediterranean through varied landscapes.
  • 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.