Triple

T10841899
Position Surface form Disambiguated ID Type / Status
Subject WPN E255907 entity
Predicate notation P6184 FINISHED
Object "WPN" E280220 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: "WPN" | Statement: [WPN, notation, "WPN"]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: "WPN"
Context triple: [WPN, notation, "WPN"]
  • A. WPN chosen
    WPN is the vehicle registration code assigned to the town of Płońsk in Poland.
  • B. WPN
    WPN is the station code used to identify White Plains station in transportation and scheduling systems.
  • C. The W
    The W is the commonly used nickname for Mississippi University for Women, a public university in Columbus, Mississippi.
  • D. WUN
    WUN is the vehicle registration code for the district of Wunsiedel im Fichtelgebirge in Upper Franconia, Germany.
  • E. WUN
    WUN is the commonly used abbreviation for Western United FC, a professional soccer club based in Victoria, Australia that competes in the A-League Men.
  • 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_69d6aa81a5d08190aa86689061d1ddd2 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d750ccb95c81908fec4885e6172f78 completed April 9, 2026, 7:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69deb146f04881909f5636e7d0c20b77 completed April 14, 2026, 9:27 p.m.
Created at: April 8, 2026, 9:19 p.m.