Triple

T15009658
Position Surface form Disambiguated ID Type / Status
Subject London Waterloo to Alton E377801 entity
Predicate servesTown P847 FINISHED
Object Alton E828062 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: Alton | Statement: [London Waterloo to Alton, servesTown, Alton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alton
Context triple: [London Waterloo to Alton, servesTown, Alton]
  • A. Alton chosen
    Alton is a village in Staffordshire, England, best known for being home to the Alton Towers theme park.
  • B. Alton
    Alton is a small New Hampshire town in the Lakes Region known for its access to Lake Winnipesaukee and its role as a popular seasonal vacation and recreation destination.
  • C. Alton
    Alton is a community within the town of Caledon in Ontario, Canada, known for its historic charm and arts-focused local culture.
  • D. Alton
    Alton is the given first name of the famed American big band leader and trombonist Glenn Miller.
  • E. Alton, Illinois
    Alton, Illinois is a historic Mississippi River city in southwestern Illinois known for its limestone bluffs, Civil War and abolitionist history, and role as a regional industrial and transportation hub.
  • 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_69d85cd3a3c881908c71fc424d459c17 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded734943481908dad4ceed4fe850c completed April 15, 2026, 12:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe96a52bb08190961e3f18d751fe2a completed May 9, 2026, 2:06 a.m.
Created at: April 10, 2026, 2:55 a.m.