Triple

T19628459
Position Surface form Disambiguated ID Type / Status
Subject Samanala Kanda E471200 entity
Predicate nearestTown P350 FINISHED
Object Hatton 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: Hatton | Statement: [Samanala Kanda, nearestTown, Hatton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hatton
Context triple: [Samanala Kanda, nearestTown, Hatton]
  • A. Hatton chosen
    Hatton is a town in Sri Lanka’s hill country known as a gateway to tea plantations and the pilgrimage site of Adam’s Peak.
  • B. Hatton
    Hatton is a small suburban area in West London, England, situated near Heathrow Airport and within the London Borough of Hounslow.
  • C. Hatton
    Hatton is a village and civil parish in South Derbyshire, England, known historically for its railway connections and local industry.
  • D. Hatton
    Hatton is an English surname historically associated with several notable figures in British political and social life.
  • E. Hatton
    Hatton is a small rural town in Adams County, Washington, known for its agricultural surroundings and quiet community.
  • 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_69d8e511f28481909f4bc3ea9191e54a completed April 10, 2026, 11:54 a.m.
NER Named-entity recognition batch_69e641007e5881908da78e50aa36f340 completed April 20, 2026, 3:06 p.m.
Created at: April 10, 2026, 1:44 p.m.