Triple

T13303204
Position Surface form Disambiguated ID Type / Status
Subject Gironès E316865 entity
Predicate contains P35 FINISHED
Object Campllong E1028936 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: Campllong | Statement: [Gironès, contains, Campllong]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Campllong
Context triple: [Gironès, contains, Campllong]
  • A. Campllong chosen
    Campllong is a small municipality in the province of Girona, within the autonomous community of Catalonia in northeastern Spain.
  • B. de Camp
    De Camp is the surname of L. Sprague de Camp, a prominent American science fiction and fantasy author known for his influential works in the mid-20th century.
  • C. Camblan
    Camblan is an alternative name for the legendary Battle of Camlann, the final, fatal conflict associated with King Arthur in Arthurian tradition.
  • D. Campolide
    Campolide is a civil parish and neighborhood in Lisbon, Portugal, known for its residential character and proximity to major universities and transport links.
  • E. Navarcles
    Navarcles is a municipality in the comarca of Bages in Catalonia, Spain, known for its location near the Llobregat and Calders rivers.
  • 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_69d806b40ab4819094adf6c374f4811a completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d990a60eb08190bf0dc098ca7dc342 completed April 11, 2026, 12:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69f716e161008190a48275ef54225d56 completed May 3, 2026, 9:35 a.m.
Created at: April 9, 2026, 9:28 p.m.