Triple

T6027915
Position Surface form Disambiguated ID Type / Status
Subject Big Round Top E134225 entity
Predicate nearbyFeature P2064 FINISHED
Object Sykes Avenue E692488 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: Sykes Avenue | Statement: [Big Round Top, nearbyFeature, Sykes Avenue]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sykes Avenue
Context triple: [Big Round Top, nearbyFeature, Sykes Avenue]
  • A. Sykes Avenue chosen
    Sykes Avenue is a historic roadway on the Gettysburg Battlefield in Pennsylvania, running near several Civil War monuments and key troop positions.
  • B. Snyder Avenue
    Snyder Avenue is a major east–west thoroughfare in South Philadelphia that serves as an important local commercial and residential corridor.
  • C. Dyer Avenue
    Dyer Avenue is a short, vehicle-focused street and approach route to the Lincoln Tunnel located on Manhattan’s West Side in New York City.
  • D. Lancaster Avenue
    Lancaster Avenue is a major thoroughfare in Philadelphia that serves as a key commercial and transit corridor through the University City area and beyond.
  • E. Warden Avenue
    Warden Avenue is a major north–south arterial road in Toronto, Ontario, running through several residential and commercial neighbourhoods in the city and its eastern suburbs.
  • 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_69c0087515148190a97475d412563865 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c0560e3c2c8190aea2619386fc5538 completed March 22, 2026, 8:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69d2571ac8ec8190bf59c2cec5e2e6e2 completed April 5, 2026, 12:35 p.m.
Created at: March 22, 2026, 4:07 p.m.