Triple

T2346216
Position Surface form Disambiguated ID Type / Status
Subject River Lea E45136 entity
Predicate flowsThroughSettlement P9749 FINISHED
Object Hertford E39666 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: Hertford | Statement: [River Lea, flowsThroughSettlement, Hertford]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hertford
Context triple: [River Lea, flowsThroughSettlement, Hertford]
  • A. Hertford chosen
    Hertford is a historic market town and the county town of Hertfordshire in southern England.
  • B. Berkhamsted
    Berkhamsted is a historic market town in Hertfordshire, England, known for its medieval castle remains and role as a commuter hub northwest of London.
  • C. Aylesbury
    Aylesbury is a historic market town in southern England that serves as an important commercial and administrative center in Buckinghamshire.
  • D. Sawbridgeworth
    Sawbridgeworth is a historic market town in Hertfordshire, England, situated near the River Stort and known for its commuter links to London and surrounding countryside.
  • E. Abingdon
    Abingdon is a historic market town in Oxfordshire, England, often claimed to be one of the oldest continuously inhabited towns in the country.
  • 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_69a88917935081909b755dbf38e81024 completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abc6c9396081908abb2b0a229bb046 completed March 7, 2026, 6:33 a.m.
NED1 Entity disambiguation (via context triple) batch_69b030fc819c8190a1bd9bba49760fec completed March 10, 2026, 2:55 p.m.
Created at: March 4, 2026, 7:52 p.m.