Triple

T12458589
Position Surface form Disambiguated ID Type / Status
Subject Maota Lake E297724 entity
Predicate near P350 FINISHED
Object Amber town E918322 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: Amber town | Statement: [Maota Lake, near, Amber town]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Amber town
Context triple: [Maota Lake, near, Amber town]
  • A. Amer town chosen
    Amer town is a historic settlement near Jaipur in Rajasthan, India, renowned for its hilltop Amer Fort and scenic views over Maota Lake.
  • B. Williams Town
    Williams Town is a small settlement located on Little Exuma in The Bahamas, known for its quiet beaches and traditional island character.
  • C. Alfredston
    Alfredston is a fictional town in Thomas Hardy’s Wessex, representing the real town of Dorchester in his novels.
  • D. Holytown
    Holytown is a small village in North Lanarkshire, Scotland, situated near Motherwell and known primarily as a residential commuter community.
  • E. Piltown
    Piltown is a village in County Kilkenny, Ireland, known for its agricultural show, historic tower, and location near the River Suir.
  • 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_69d6ada270808190b1a2b2e7b02bb426 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94da46a588190bc888fafd6d1eb5d completed April 10, 2026, 7:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f63f1b0a3081909cf22970586755e9 completed May 2, 2026, 6:14 p.m.
Created at: April 8, 2026, 9:56 p.m.