Triple

T2710322
Position Surface form Disambiguated ID Type / Status
Subject N Judah E59842 entity
Predicate hasStop P17789 FINISHED
Object Embarcadero station E63546 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: Embarcadero station | Statement: [N Judah, hasStop, Embarcadero station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Embarcadero station
Context triple: [N Judah, hasStop, Embarcadero station]
  • A. Embarcadero station chosen
    Embarcadero station is a major San Francisco Bay Area Rapid Transit (BART) and Muni Metro hub located at the eastern edge of downtown near the Ferry Building and the Embarcadero waterfront.
  • B. Thompson Square station
    Thompson Square station was a former railway station in Wellington, New Zealand, that was closed and superseded by the more modern Wellington railway station.
  • C. Wynnefield Avenue station
    Wynnefield Avenue station is a regional rail stop in Philadelphia, Pennsylvania, served by SEPTA’s Cynwyd Line.
  • D. Judiciary Square station
    Judiciary Square station is an underground Washington Metro station in downtown Washington, D.C., serving the city's judicial and government district.
  • E. Bachman station
    Bachman station is a public transit stop in Dallas, Texas, served by DART’s Green Line light rail system.
  • 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_69b3544e32a0819087d554982f443b1d completed March 13, 2026, 12:03 a.m.
Created at: March 6, 2026, 9:55 p.m.