Triple

T2710319
Position Surface form Disambiguated ID Type / Status
Subject N Judah E59842 entity
Predicate fareSystem P395 FINISHED
Object Clipper E123351 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: Clipper | Statement: [N Judah, fareSystem, Clipper]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Clipper
Context triple: [N Judah, fareSystem, Clipper]
  • A. Clipper chosen
    Clipper is a reloadable contactless smart card system used for paying fares on public transit across the San Francisco Bay Area.
  • B. Scudder
    Scudder is a family surname that may refer to various individuals, including the fictional Mrs. Scudder and other real or literary figures bearing that name.
  • C. Blackrod
    Blackrod is a small town and civil parish in Greater Manchester, England, historically part of Lancashire and situated near Horwich and Bolton.
  • D. Orneta
    Orneta is a small historic town in northern Poland known for its medieval architecture and location within the picturesque Warmian-Masurian region.
  • E. Seale
    Seale is a surname most notably associated with Bobby Seale, co-founder of the Black Panther Party and prominent figure in the U.S. civil rights movement.
  • 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_69ab4ac92a088190bc74bca14038e3de completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abda7771a4819081904bd6b818b81b completed March 7, 2026, 7:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69afaf820e6c8190bc37219eadd57e86 completed March 10, 2026, 5:43 a.m.
Created at: March 6, 2026, 9:55 p.m.