Triple

T15466277
Position Surface form Disambiguated ID Type / Status
Subject Crossing Cup E372037 entity
Predicate hasCourse P6650 FINISHED
Object Wild Woods E969433 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: Wild Woods | Statement: [Crossing Cup, hasCourse, Wild Woods]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wild Woods
Context triple: [Crossing Cup, hasCourse, Wild Woods]
  • A. Wild Woods chosen
    Wild Woods is a themed area within Chessington World of Adventures, featuring family-friendly rides and attractions set in an immersive woodland environment.
  • B. Wild Forest
    Wild Forest is a land-use classification within New York’s Adirondack Park that allows for a mix of conservation and relatively low-intensity recreational activities.
  • C. In the Woods
    In the Woods is a 19th-century landscape painting by American artist Asher B. Durand, exemplifying the Hudson River School’s detailed and reverent depiction of the natural world.
  • D. The Woods
    The Woods is a film scored by composer John Frizzell, known for its atmospheric and suspenseful musical style.
  • E. The Woods
    "The Woods" is a soulful, genre-blending song by American musician Raury that showcases his introspective lyrics and folk-influenced alternative sound.
  • 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_69d85cc8bd308190886949510b42e764 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e03f680cec8190836a5ec841dee224 completed April 16, 2026, 1:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff2d01a23c819095cf75b7d5a801a9 completed May 9, 2026, 12:48 p.m.
Created at: April 10, 2026, 3:33 a.m.