Triple

T14689277
Position Surface form Disambiguated ID Type / Status
Subject The Reach E344996 entity
Predicate containsCity P294 FINISHED
Object Oldtown E345002 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: Oldtown | Statement: [The Reach, containsCity, Oldtown]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oldtown
Context triple: [The Reach, containsCity, Oldtown]
  • A. Oldtown
    Oldtown was the original pioneer settlement that later developed into present-day Harrodsburg, Kentucky, one of the earliest permanent communities in the state.
  • B. Oldtown chosen
    Oldtown is one of the oldest and largest cities in the fictional continent of Westeros, famed for its towering Hightower and as the seat of the Citadel where maesters are trained.
  • C. Oldtown
    Oldtown is a small settlement located within County Fingal in Ireland, known for its rural character and proximity to Dublin.
  • D. Seatown
    Seatown is a coastal residential area forming part of the town of Lossiemouth in Moray, Scotland.
  • E. Old Town
    Old Town is the historic central district of Olkusz, characterized by its preserved medieval urban layout, traditional architecture, and cultural landmarks.
  • 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_69d822e34b348190ada4d1cdb6c7c226 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb5844de481908a796eaa474bfde9 completed April 14, 2026, 9:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69fde189771c81909289b8b044e32547 completed May 8, 2026, 1:13 p.m.
Created at: April 10, 2026, 1:28 a.m.