Triple

T6055736
Position Surface form Disambiguated ID Type / Status
Subject Basel bus network E134904 entity
Predicate fareSystem P395 FINISHED
Object TNW E559882 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: TNW | Statement: [Basel bus network, fareSystem, TNW]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TNW
Context triple: [Basel bus network, fareSystem, TNW]
  • A. TNW chosen
    TNW is the integrated public transport fare network covering Basel and its surrounding region in Switzerland.
  • B. TNN
    TNN, originally known as The Nashville Network, was a U.S. cable television channel that evolved from country-music-focused programming into a broader general entertainment network before rebranding as Spike.
  • C. TTO
    TTO is the FIFA country code representing the Trinidad and Tobago national football team in international competitions.
  • D. TTO
    TTO is a DARPA office focused on developing and demonstrating high-risk, high-payoff advanced military technologies and systems.
  • E. TN
    TN is the official vehicle registration code used for the Indian state of Tamil Nadu.
  • 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_69c00877b6d4819096b0e163728b73a3 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c0570a863c819090291775245708d6 completed March 22, 2026, 8:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69c113b06d188190839cfc48a2461d65 completed March 23, 2026, 10:19 a.m.
Created at: March 22, 2026, 4:09 p.m.