Triple

T512523
Position Surface form Disambiguated ID Type / Status
Subject Baker Library E10637 entity
Predicate locatedIn P40 FINISHED
Object Allston E32008 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: Allston | Statement: [Baker Library, locatedIn, Allston]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Allston
Context triple: [Baker Library, locatedIn, Allston]
  • A. Allston chosen
    Allston is a Boston neighborhood located across the Charles River from Harvard’s main campus, known for its mix of students, residential areas, and commercial spaces.
  • B. Ashmont
    Ashmont is a major Boston subway and bus terminal in the Dorchester neighborhood that serves as one of the southern endpoints of the MBTA Red Line.
  • C. Beacon Hill
    Beacon Hill is a historic, affluent Boston neighborhood known for its Federal-style rowhouses, narrow gas-lit streets, and role as a center of state government and early American history.
  • D. Medford Square
    Medford Square is the historic downtown center of Medford, Massachusetts, known for its preserved architecture, civic buildings, and role as the city’s commercial and cultural hub.
  • E. Davis Square
    Davis Square is a vibrant commercial and cultural neighborhood in Somerville, Massachusetts, known for its restaurants, nightlife, arts scene, and MBTA Red Line station.
  • 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_69a2e84a0d08819087e01863fcd9abf1 completed Feb. 28, 2026, 1:06 p.m.
NER Named-entity recognition batch_69a2f1804e908190a1d34ac952e84a3f completed Feb. 28, 2026, 1:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69a518bfaed48190b03343e0a4a85c89 completed March 2, 2026, 4:57 a.m.
Created at: Feb. 28, 2026, 1:12 p.m.