Triple

T13628762
Position Surface form Disambiguated ID Type / Status
Subject River Loose E325656 entity
Predicate nearbySettlement P350 FINISHED
Object Tovil E1050797 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: Tovil | Statement: [River Loose, nearbySettlement, Tovil]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tovil
Context triple: [River Loose, nearbySettlement, Tovil]
  • A. Tovil chosen
    Tovil is a suburban area near Maidstone in Kent, England, known for its riverside setting and mix of residential and light industrial development.
  • B. Thavil
    Thavil is a traditional South Indian barrel-shaped percussion instrument, central to Tamil temple and folk music, typically played with sticks and fingers alongside the nadaswaram.
  • C. Torla
    Torla is a picturesque mountain village in the Spanish Pyrenees, serving as a main gateway to the Ordesa y Monte Perdido National Park.
  • D. Tayinloan
    Tayinloan is a small coastal village on the Kintyre peninsula in Argyll and Bute, western Scotland, known as a ferry point to the Isle of Gigha.
  • E. Dagomys
    Dagomys is a coastal resort settlement on the Black Sea in the Sochi area of Krasnodar Krai, Russia, known for its beaches and subtropical climate.
  • 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_69d8076beddc8190a53156f5bea77f5e completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbbe9d803481908101def32817b0eb completed April 12, 2026, 3:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f78aeb591481909d39675a543a8b51 completed May 3, 2026, 5:50 p.m.
Created at: April 9, 2026, 9:51 p.m.