Triple

T13969582
Position Surface form Disambiguated ID Type / Status
Subject Sam Page E336019 entity
Predicate notableWork P4 FINISHED
Object Point Pleasant E448280 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: Point Pleasant | Statement: [Sam Page, notableWork, Point Pleasant]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Point Pleasant
Context triple: [Sam Page, notableWork, Point Pleasant]
  • A. Point Pleasant, West Virginia chosen
    Point Pleasant, West Virginia is a small historic city at the confluence of the Ohio and Kanawha Rivers, known for the 1774 Battle of Point Pleasant and its association with the Mothman legend.
  • B. Parkeston
    Parkeston is a village and port area in Essex, England, situated near Harwich and known historically for its railway and maritime connections.
  • C. Egg Harbor
    Egg Harbor is a small village and popular tourist destination on the shores of Lake Michigan in Door County, Wisconsin, known for its waterfront, resorts, and seasonal festivals.
  • D. Parker Point
    Parker Point is a scenic coastal area and prominent shoreline feature in Blue Hill, Maine, known for its waterfront views and access to Blue Hill Bay.
  • E. Parker Point
    Parker Point is a popular scenic beach and snorkeling spot on Rottnest Island off the coast of Western Australia.
  • 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_69d81c61f3508190aaf2ca0dc0002c59 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2e8daeac8190aadd4b3b60222482 completed April 14, 2026, 12:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69fba1dc838c8190bbcfefd69ea29965 completed May 6, 2026, 8:17 p.m.
Created at: April 9, 2026, 10:18 p.m.