Triple

T18577380
Position Surface form Disambiguated ID Type / Status
Subject Goreu Awen Gwirionedd E454018 entity
Predicate containsWord P6841 FINISHED
Object Awen 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: Awen | Statement: [Goreu Awen Gwirionedd, containsWord, Awen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Awen
Context triple: [Goreu Awen Gwirionedd, containsWord, Awen]
  • A. Tiaong
    Tiaong is a municipality in the province of Quezon in the Philippines, known for its agricultural economy and proximity to major transport routes in Southern Luzon.
  • B. Eywa
    Eywa is the sentient, planet-wide life force and guiding deity of the Na'vi people in James Cameron's Avatar universe.
  • C. Oxeia
    Oxeia is a small Greek island in the Ionian Sea, part of the Echinades archipelago known for its rugged coastline and relatively untouched natural landscape.
  • D. Ogma chosen
    Ogma is a prominent deity in Celtic mythology, often associated with eloquence, learning, and the invention of the Ogham script.
  • E. Akasha
    Akasha is the powerful and ancient vampire queen who serves as the primary antagonist in Anne Rice's novel and its film adaptation "Queen of the Damned."
  • 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_69d8d38974308190a9174430ef256b73 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e543cc94f081909b76c3d488ed5637 completed April 19, 2026, 9:06 p.m.
Created at: April 10, 2026, 11:43 a.m.