Triple

T8462001
Position Surface form Disambiguated ID Type / Status
Subject Teston Lock E200062 entity
Predicate hasNearbySettlement P4647 FINISHED
Object Teston E338775 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: Teston | Statement: [Teston Lock, hasNearbySettlement, Teston]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Teston
Context triple: [Teston Lock, hasNearbySettlement, Teston]
  • A. Teston chosen
    Teston is a small village in Kent, England, known for its rural character and location near the River Medway.
  • B. Testour
    Testour is a historic town in northern Tunisia known for its Andalusian architectural heritage and cultural traditions.
  • C. Test Pilot
    Test Pilot is a 1938 American aviation drama film starring Clark Gable, Myrna Loy, and Spencer Tracy that follows the perilous life and relationships of a daring test pilot.
  • D. Teclea
    Teclea is a genus of flowering plants in the citrus family Rutaceae, native to parts of Africa and known for its aromatic foliage.
  • E. Tayasan
    Tayasan is a coastal municipality in the province of Negros Oriental in the Philippines, known for its rural communities and agricultural economy.
  • 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_69ca83198c4c8190a337bf717d1813f5 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe4a0ff4c8190b17bbd33db632cea completed March 31, 2026, 3:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce1df5d76881909ea5040824985cc3 completed April 2, 2026, 7:42 a.m.
Created at: March 30, 2026, 6:10 p.m.