Triple

T18773613
Position Surface form Disambiguated ID Type / Status
Subject Chares of Lindos E459076 entity
Predicate workLocation P7 FINISHED
Object Lindos 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: Lindos | Statement: [Chares of Lindos, workLocation, Lindos]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lindos
Context triple: [Chares of Lindos, workLocation, Lindos]
  • A. Lindos chosen
    Lindos is a historic coastal village on the Greek island of Rhodes, famed for its ancient acropolis, whitewashed houses, and scenic beaches.
  • B. Hermosa
    Hermosa is a municipality in the province of Bataan in the Philippines, known for its agricultural lands and growing industrial and residential developments.
  • C. Hermosa
    Hermosa is a primarily residential neighborhood on Chicago’s Northwest Side known for its diverse community and as the childhood home of Walt Disney.
  • D. Lauris
    Lauris is a picturesque village in southeastern France’s Vaucluse department, known for its hilltop setting overlooking the Durance Valley and its historic château.
  • E. Riviera
    Riviera is a television drama series centered on wealth, crime, and intrigue along the glamorous French Riviera.
  • 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_69d8d395dba0819087568404508590cb completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e593378a4081909cc1b0856fce7d7d completed April 20, 2026, 2:45 a.m.
Created at: April 10, 2026, 11:52 a.m.