Triple

T1708301
Position Surface form Disambiguated ID Type / Status
Subject Ashmont E36919 entity
Predicate hasAdjacentStation P231 FINISHED
Object Shawmut E5260 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: Shawmut | Statement: [Ashmont, hasAdjacentStation, Shawmut]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shawmut
Context triple: [Ashmont, hasAdjacentStation, Shawmut]
  • A. Shawmut chosen
    Shawmut is a neighborhood rapid transit station on Boston's MBTA Red Line, located in the Dorchester area.
  • B. Gardiner
    Gardiner is an English surname historically associated with Princess Muna al-Hussein, the British-born mother of King Abdullah II of Jordan.
  • C. Shawmut Bank
    Shawmut Bank was a major New England-based commercial bank that played a prominent role in regional finance before being acquired in the 1990s.
  • D. Metcalf
    Metcalf is an English-language surname of Anglo-Saxon origin, historically associated with northern England.
  • E. Wadsworth
    Wadsworth is a small unincorporated community in Nevada known for its location along the Truckee River and its historical ties to the transcontinental railroad.
  • 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_69a88617439c819094ffb5d16a0f6307 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa63118618819085700fa84e362d60 completed March 6, 2026, 5:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad8ad849648190b2bb0e2a50cd6c75 completed March 8, 2026, 2:42 p.m.
Created at: March 4, 2026, 7:30 p.m.