Triple

T9042519
Position Surface form Disambiguated ID Type / Status
Subject The Nightwatchman E216667 entity
Predicate notableWork P4 FINISHED
Object Union Town E36837 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: Union Town | Statement: [The Nightwatchman, notableWork, Union Town]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Union Town
Context triple: [The Nightwatchman, notableWork, Union Town]
  • A. Union Town chosen
    Union Town was the original name given to what is now Uniontown, Pennsylvania, a historic city in Fayette County known for its role in early American frontier and industrial development.
  • B. Youngsville
    Youngsville is a small town in Franklin County, North Carolina, located just north of the Raleigh–Durham metropolitan area.
  • C. Temperanceville
    Temperanceville is a small community within the Township of King in Ontario, Canada, known for its rural character and historic roots.
  • D. Shingletown
    Shingletown is a small rural community in Northern California known for its forested setting near Lassen Volcanic National Park.
  • E. Tylorstown
    Tylorstown is a former coal mining village in the Rhondda Fach valley in Rhondda Cynon Taf, Wales.
  • 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_69ca83d22d488190adbce5e020e9cd1d completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc6b1228748190be0c4afe6e0bd9a3 completed April 1, 2026, 12:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfeba4c5f48190b7fc85f2137dd93e completed April 3, 2026, 4:32 p.m.
Created at: March 30, 2026, 7:09 p.m.