Triple

T6569209
Position Surface form Disambiguated ID Type / Status
Subject Alewife station E155389 entity
Predicate stationCode P1289 FINISHED
Object RALE E17392 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: RALE | Statement: [Alewife station, stationCode, RALE]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: RALE
Context triple: [Alewife station, stationCode, RALE]
  • A. RALE chosen
    RALE is the station code for Alewife, the northern terminus of Boston’s MBTA Red Line rapid transit service.
  • B. RAE
    RAE is the commonly used abbreviation for the Russian Antarctic Expedition, Russia’s long-running program of scientific research and exploration in Antarctica.
  • C. RAE
    RAE is the commonly used acronym for the Royal Spanish Academy, the official institution responsible for regulating and overseeing the Spanish language.
  • D. RAE
    RAE is the corps of the Australian Army responsible for military engineering, including combat engineering, construction, and infrastructure support.
  • E. RA
    RA is the commonly used abbreviation for Rugby Australia, the governing body for rugby union in Australia.
  • 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_69c688151254819080387f87deab8fa7 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6ae56116c81909ab2fc0877363406 completed March 27, 2026, 4:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6cb964fe48190a28fc50426d7c5d4 completed March 27, 2026, 6:25 p.m.
Created at: March 27, 2026, 1:53 p.m.