Triple

T17701163
Position Surface form Disambiguated ID Type / Status
Subject METRORail E441302 entity
Predicate connects P390 FINISHED
Object Museum District E418781 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: Museum District | Statement: [METRORail, connects, Museum District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Museum District
Context triple: [METRORail, connects, Museum District]
  • A. Museum District chosen
    The Museum District is a cultural neighborhood in Houston, Texas, known for its high concentration of museums, galleries, and cultural institutions.
  • B. Museum District
    Museum District is a cultural neighborhood in Tacoma, Washington, known for its concentration of major museums and arts institutions.
  • C. Grout Museum District
    The Grout Museum District is a group of history, science, and cultural museums and centers in Waterloo, Iowa, known for exhibits on regional history, veterans, and innovation.
  • D. Crossroads Arts District
    Crossroads Arts District is a vibrant cultural neighborhood in downtown Kansas City, Missouri, known for its art galleries, creative spaces, and lively First Friday events.
  • E. Arts District
    The Arts District is a cultural hub in downtown Portland, Maine, known for its concentration of galleries, museums, theaters, and creative venues.
  • 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_69d8b9ea20b48190ace88bb46b01e6a9 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e4715ae1fc81908438a1bba970c6ec completed April 19, 2026, 6:08 a.m.
NED1 Entity disambiguation (via context triple) batch_6a02301c774c8190a7e542b48960043e completed May 11, 2026, 7:38 p.m.
Created at: April 10, 2026, 10:04 a.m.