Triple

T10328151
Position Surface form Disambiguated ID Type / Status
Subject County Waterford E242812 entity
Predicate hasCountyTown P383 FINISHED
Object Waterford E285705 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: Waterford | Statement: [County Waterford, hasCountyTown, Waterford]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Waterford
Context triple: [County Waterford, hasCountyTown, Waterford]
  • A. Waterford
    Waterford is a small town and village in eastern New York State, known as the eastern terminus of the Erie Canal and its historic canal locks.
  • B. Waterford
    Waterford is a small incorporated city located in Stanislaus County in California’s Central Valley.
  • C. Waterford chosen
    Waterford is a historic port city in southeast Ireland, renowned as the country’s oldest city and for its traditional crystal glassmaking.
  • D. Wexford
    Wexford is a historic coastal town in County Wexford, Ireland, known for its medieval heritage and role in events such as the 1649 siege during the Cromwellian conquest.
  • E. Tuam
    Tuam is a historic market town in western Ireland known for its ecclesiastical heritage and role as a regional center in County Galway.
  • 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_69d381af787481908bc401325c760a88 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d7cf21e08190bf605daeea0d9dcf completed April 7, 2026, 10:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69d87e4cdf8881908d613a0cb65fa0c2 completed April 10, 2026, 4:36 a.m.
Created at: April 6, 2026, 11:52 a.m.