Triple

T12025307
Position Surface form Disambiguated ID Type / Status
Subject Marfa E286259 entity
Predicate knownFor P22 FINISHED
Object Marfa Lights E286259 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: Marfa Lights | Statement: [Marfa, knownFor, Marfa Lights]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marfa Lights
Context triple: [Marfa, knownFor, Marfa Lights]
  • A. Marfa chosen
    Marfa is a small arts-focused desert town in the Trans-Pecos region of West Texas, known for its minimalist art installations and mysterious "Marfa Lights."
  • B. Salem Lights
    Salem Lights is a lighter, lower-tar and nicotine version of the menthol cigarette brand Salem, marketed as a "light" smoking option.
  • C. Trail of Lights
    Trail of Lights is a large annual holiday lights festival in Austin, Texas, featuring elaborate light displays, themed attractions, and seasonal entertainment.
  • D. Clover Field
    Clover Field was the original name of the historic airfield in Santa Monica, California that later became Santa Monica Airport.
  • E. The Valley of the Moon
    The Valley of the Moon is a 1913 novel by American author Jack London that follows a working-class couple’s search for a better life in the rural landscapes of California.
  • 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_69d6ab4669e48190b59246358b0383ab completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d903f02638819091e0cc0e93fa5ea7 completed April 10, 2026, 2:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69f48b71e5c48190a58ace8ef7c8928d completed May 1, 2026, 11:16 a.m.
Created at: April 8, 2026, 9:47 p.m.