Triple

T9115754
Position Surface form Disambiguated ID Type / Status
Subject Company of Thorin E218714 entity
Predicate associatedLocation P37 FINISHED
Object Lake-town E218717 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: Lake-town | Statement: [Company of Thorin, associatedLocation, Lake-town]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lake-town
Context triple: [Company of Thorin, associatedLocation, Lake-town]
  • A. Lake-town chosen
    Lake-town is a wooden settlement built on the Long Lake in J.R.R. Tolkien’s Middle-earth, known for its role in The Hobbit as the nearby human town affected by the dragon Smaug.
  • B. Shadow Lake
    Shadow Lake is a scenic alpine lake in California’s Sierra Nevada, known for its clear waters, granite peaks, and popularity with backcountry hikers and photographers.
  • C. Crystal Pond
    Crystal Pond is a small, likely clear-water pond that serves as the namesake for the nearby Crystal Pond Brook.
  • D. The Lake
    The Lake is a village-like neighborhood in Newton, Massachusetts, known for its strong community identity and historically Irish-American roots.
  • E. The Lake
    The Lake is a picturesque man-made body of water in New York City's Central Park, popular for boating, scenic views, and surrounding walking paths.
  • 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_69ca83dc94ac8190b9ef42684d36ff39 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cca8a1340881909dc791b825e87ef2 completed April 1, 2026, 5:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0306837c0819099cd77925df0848d completed April 3, 2026, 9:26 p.m.
Created at: March 30, 2026, 7:16 p.m.