Triple

T23089427
Position Surface form Disambiguated ID Type / Status
Subject Lage (Lippe) E575702 entity
Predicate hasVehicleRegistrationCode P1173 FINISHED
Object LIP NE NERFINISHED

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: LIP | Statement: [Lage (Lippe), hasVehicleRegistrationCode, LIP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: LIP
Context triple: [Lage (Lippe), hasVehicleRegistrationCode, LIP]
  • A. LIP
    LIP is the vehicle registration code for the town of Blomberg in the Lippe district of North Rhine-Westphalia, Germany.
  • B. LIP chosen
    LIP is the vehicle registration code for the district of Lippe in the German state of North Rhine-Westphalia.
  • C. LIPY
    LIPY is the ICAO airport code for Ancona Airport, a regional airport serving the city of Ancona and the Marche region in Italy.
  • D. LIPK
    LIPK is the ICAO airport code for Forlì International Airport in Forlì, Italy.
  • E. LIPZ
    LIPZ is the ICAO airport code for Venice Marco Polo Airport, the main international airport serving Venice, Italy.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e245bf3e3c819086d3448720efc01b completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f18da8818481908d768a0462f3f837 completed April 29, 2026, 4:48 a.m.
Created at: April 17, 2026, 3:57 p.m.