Triple

T17985351
Position Surface form Disambiguated ID Type / Status
Subject Andechs E430215 entity
Predicate hasVehicleRegistrationCode P1173 FINISHED
Object STA 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: STA | Statement: [Andechs, hasVehicleRegistrationCode, STA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: STA
Context triple: [Andechs, hasVehicleRegistrationCode, STA]
  • A. STA chosen
    STA is the vehicle registration code for the district of Starnberg in Bavaria, Germany.
  • B. STA
    STA is the National Rail station code for Stafford railway station, a key junction on the West Coast Main Line in Staffordshire, England.
  • C. STM
    STM is the Finnish Ministry of Social Affairs and Health, the government body responsible for national social welfare and health policy in Finland.
  • D. STM
    STM is the station code for Smithtown station, a Long Island Rail Road commuter rail stop in Smithtown, New York.
  • E. STM
    STM is the stock ticker symbol for STMicroelectronics, a major global semiconductor manufacturer.
  • 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_69d8b90364248190a37381adea932f42 completed April 10, 2026, 8:46 a.m.
NER Named-entity recognition batch_69e4b29a27b081909a128a6b978eabf8 completed April 19, 2026, 10:46 a.m.
Created at: April 10, 2026, 10:23 a.m.