Triple

T15154173
Position Surface form Disambiguated ID Type / Status
Subject Fort Howard area E362026 entity
Predicate locatedNear P294 FINISHED
Object North Point E15191 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: North Point | Statement: [Fort Howard area, locatedNear, North Point]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: North Point
Context triple: [Fort Howard area, locatedNear, North Point]
  • A. North Point chosen
    North Point is a historic area in Maryland that served as a key battlefield during the War of 1812’s defense of Baltimore.
  • B. North Point
    North Point is a renowned surf break near Gracetown in Western Australia, famous for its powerful, high-quality waves that attract experienced surfers.
  • C. North Point
    North Point is a densely populated residential and commercial district on the northeastern shore of Hong Kong Island known for its mixed older urban fabric and diverse communities.
  • D. North Point
    North Point is a scenic overlook in New York’s Catskill Mountains known for its expansive views of North-South Lake and the surrounding peaks.
  • E. North Point Breeze
    North Point Breeze is a residential neighborhood in Pittsburgh, Pennsylvania, known as the northern section of the larger Point Breeze area.
  • 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_69d85a0759908190b8a051d2e2a1cbe6 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0060b0cd08190afad14cffcc7d93f completed April 15, 2026, 9:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69febff6344c819085a105c6bcf835bc completed May 9, 2026, 5:02 a.m.
Created at: April 10, 2026, 3:08 a.m.