Triple

T25818
Position Surface form Disambiguated ID Type / Status
Subject Porter E516 entity
Predicate locatedIn P40 FINISHED
Object Porter Square E7476 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 Square | Statement: [Porter, locatedIn, Porter Square]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Porter Square
Context triple: [Porter, locatedIn, Porter Square]
  • A. Porter Square chosen
    Porter Square is a bustling commercial and transit hub in northern Cambridge, Massachusetts, known for its shopping centers, restaurants, and MBTA Red Line and commuter rail station.
  • B. Inman Square
    Inman Square is a vibrant, historically working-class neighborhood and commercial district in Cambridge, Massachusetts, known for its diverse restaurants, bars, and local businesses.
  • C. Harvard Square
    Harvard Square is a historic commercial and cultural center in Cambridge, Massachusetts, known for its vibrant mix of shops, restaurants, street performers, and its proximity to Harvard University.
  • D. Cambridge Common
    Cambridge Common is a historic public park in Cambridge, Massachusetts, known for its role in the American Revolutionary War and as a central civic gathering space.
  • E. Kendall Square
    Kendall Square is a major innovation district in Cambridge, Massachusetts, known for its dense concentration of technology companies, startups, and research institutions near the MIT campus.
  • 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_69a243b4ac2c8190b93c303df797b7b2 completed Feb. 28, 2026, 1:24 a.m.
NER Named-entity recognition batch_69a246776cf48190aca9855cb07e8d89 completed Feb. 28, 2026, 1:35 a.m.
NED1 Entity disambiguation (via context triple) batch_69a29817d9d08190aea256b0fbbb2d9b completed Feb. 28, 2026, 7:24 a.m.
Created at: Feb. 28, 2026, 1:34 a.m.