Triple

T20260489
Position Surface form Disambiguated ID Type / Status
Subject A417 road E498819 entity
Predicate passesNear P416 FINISHED
Object Lechlade NE NERFINISHED

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: Lechlade | Statement: [A417 road, passesNear, Lechlade]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lechlade
Context triple: [A417 road, passesNear, Lechlade]
  • A. Lechlade chosen
    Lechlade is a small riverside town in Gloucestershire, England, known for its picturesque setting on the River Thames near its upper reaches.
  • B. Poblenou
    Poblenou is a former industrial district in Barcelona that has been transformed into a vibrant neighborhood known for its tech hub, creative spaces, and urban renewal projects.
  • C. Moravice
    Moravice is a river in the northern part of the historical Moravia region of the Czech Republic.
  • D. Unterlauda
    Unterlauda is a district of the town Lauda-Königshofen in the Main-Tauber region of Baden-Württemberg, Germany.
  • E. České Velenice
    České Velenice is a town in the South Bohemian Region of the Czech Republic known for its strategic railway junction and position directly opposite the Austrian town of Gmünd on the Czech–Austrian border.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69da6275fa6c8190952924930adee150 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e674c90d00819082f68822635ee86a completed April 20, 2026, 6:47 p.m.
Created at: April 11, 2026, 11:41 p.m.