Triple

T2346223
Position Surface form Disambiguated ID Type / Status
Subject River Lea E45136 entity
Predicate flowsThroughSettlement P9749 FINISHED
Object Hackney E143459 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: Hackney | Statement: [River Lea, flowsThroughSettlement, Hackney]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hackney
Context triple: [River Lea, flowsThroughSettlement, Hackney]
  • A. Hammersmith
    Hammersmith is a district in West London known as a major commercial and transport hub along the River Thames.
  • B. Southwark
    Southwark is a historic district in central London on the south bank of the River Thames, known for landmarks such as Borough Market, The Shard, and Shakespeare’s Globe.
  • C. London Borough of Hackney chosen
    The London Borough of Hackney is an inner London borough in East London known for its diverse communities, vibrant arts and nightlife scenes, and rapid urban regeneration.
  • D. Shoreditch
    Shoreditch is a vibrant East London district known for its creative industries, street art, nightlife, and tech startups.
  • E. Peckham
    Peckham is a vibrant, multicultural district in south London known for its lively arts scene, markets, and diverse community.
  • 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_69b12ded5f9c8190a0de21b631d970b0 completed March 11, 2026, 8:55 a.m.
Created at: March 4, 2026, 7:52 p.m.