Triple

T7565441
Position Surface form Disambiguated ID Type / Status
Subject Fitchburg Line E178900 entity
Predicate hasStation P35 FINISHED
Object Porter E516 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: Porter | Statement: [Fitchburg Line, hasStation, Porter]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Porter
Context triple: [Fitchburg Line, hasStation, Porter]
  • A. Porter chosen
    Porter is a transit station in Cambridge, Massachusetts that serves both MBTA commuter rail and Red Line subway services.
  • B. Porter
    Porter is a common English occupational surname historically given to gatekeepers or doorkeepers.
  • C. Parker
    Parker is a common English surname borne by numerous notable individuals across fields such as politics, sports, arts, and science.
  • D. Parker
    Parker is a 2013 American crime thriller film starring Jason Statham as a professional thief who seeks revenge after being double-crossed by his crew.
  • E. Otis
    Otis is a masculine given name most famously associated with legendary American soul singer Otis Redding.
  • 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_69c69f2f80288190b95cceb4da92ab2b completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f8fde87c81909795fc713d7378ff completed March 27, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69c856dc5ea881908c2e0075f9631af4 completed March 28, 2026, 10:31 p.m.
Created at: March 27, 2026, 3:50 p.m.