Triple

T19355122
Position Surface form Disambiguated ID Type / Status
Subject Siletz Bay State Airport E484123 entity
Predicate hasFAAIdentifier P420 FINISHED
Object S45 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: S45 | Statement: [Siletz Bay State Airport, hasFAAIdentifier, S45]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: S45
Context triple: [Siletz Bay State Airport, hasFAAIdentifier, S45]
  • A. S45
    S45 is a Berlin S-Bahn suburban rail line that connects the city’s southern districts, including Berlin Brandenburg Airport, with the wider urban transit network.
  • B. S45 chosen
    S45 is the FAA location identifier for Siletz Bay State Airport, a public airport serving the Lincoln City area in Oregon, United States.
  • C. S44
    S44 is a Staten Island local bus route in New York City that connects New Springville with other neighborhoods across the borough.
  • D. S46
    S46 is a commuter rail line of the Berlin S-Bahn network serving suburban and urban areas along its designated route.
  • E. S47
    S47 is a line of the Berlin S-Bahn urban rail network serving parts of the German capital and its surrounding area.
  • 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_69d8e8d244f8819080eb1f3491300db2 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e6190794188190a94de464d985b5fd completed April 20, 2026, 12:16 p.m.
Created at: April 10, 2026, 1:34 p.m.