Triple

T13328104
Position Surface form Disambiguated ID Type / Status
Subject MKE E317493 entity
Predicate shortName P43 FINISHED
Object MKE unclear NED1 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: MKE | Statement: [MKE, shortName, MKE]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MKE
Context triple: [MKE, shortName, MKE]
  • A. MKE
    MKE is the abbreviated name commonly associated with the Turkish sports club MKE Ankaragücü.
  • B. MKE
    MKE is the three-letter IATA airport code for Milwaukee Mitchell International Airport, the primary commercial airport serving the Milwaukee, Wisconsin area.
  • C. Meket
    Meket was an ancient Egyptian queen consort of the 11th Dynasty pharaoh Mentuhotep II.
  • D. Milwaukee
    Milwaukee is the largest city in Wisconsin, known for its brewing traditions, industrial history, and location on the western shore of Lake Michigan.
  • E. Milwaukie
    Milwaukie is a small city in northwestern Oregon, located just south of Portland along the Willamette River.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide. chosen

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_69d806b4d62c81908d4ced1665414be5 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d9992e4f908190a6f172bf910cffb8 completed April 11, 2026, 12:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7266f70088190a518e273af507361 completed May 3, 2026, 10:41 a.m.
Created at: April 9, 2026, 9:30 p.m.