Triple

T12405108
Position Surface form Disambiguated ID Type / Status
Subject Philadelphia waterfront E296363 entity
Predicate adjacentTo P224 FINISHED
Object Queen Village E63053 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: Queen Village | Statement: [Philadelphia waterfront, adjacentTo, Queen Village]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Queen Village
Context triple: [Philadelphia waterfront, adjacentTo, Queen Village]
  • A. Queen Village neighborhood chosen
    Queen Village is a historic, upscale residential neighborhood in South Philadelphia known for its cobblestone streets, rowhomes, and vibrant dining and shopping scene.
  • B. North Heywood
    North Heywood is a residential and suburban area within the town of Heywood in Greater Manchester, England.
  • C. Morningside
    Morningside is a community located within Hamblen County in the state of Tennessee, United States.
  • D. Morningside
    Morningside is an affluent residential and commercial suburb located within the Sandton area of Johannesburg, South Africa.
  • E. Morningside
    Morningside is a residential neighbourhood in the eastern Toronto district of Scarborough, known for its suburban character and proximity to parks and ravines.
  • 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_69d6ad9f464c81909db36d7e96e34b9e completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94d48f1908190918551c794f98fe3 completed April 10, 2026, 7:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69f63486d1b881908d94218d2c391123 completed May 2, 2026, 5:29 p.m.
Created at: April 8, 2026, 9:55 p.m.