Triple

T10271783
Position Surface form Disambiguated ID Type / Status
Subject Tegid Foel E240853 entity
Predicate residence P75 FINISHED
Object Bala Lake E53435 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: Bala Lake | Statement: [Tegid Foel, residence, Bala Lake]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bala Lake
Context triple: [Tegid Foel, residence, Bala Lake]
  • A. Bala Lake chosen
    Bala Lake is the largest natural lake in Wales, renowned for its scenic surroundings and popularity for boating, fishing, and watersports.
  • B. Satpara Lake
    Satpara Lake is a high-altitude natural lake near Skardu in northern Pakistan, known for its turquoise waters, surrounding rugged mountains, and role as a key freshwater and hydroelectric resource for the region.
  • C. Berijam Lake
    Berijam Lake is a scenic freshwater reservoir near Kodaikanal in Tamil Nadu, India, known for its tranquil forested surroundings, rich biodiversity, and popular nature trails.
  • D. Sarangan Lake
    Sarangan Lake is a popular natural mountain lake and tourist destination located in the highlands of Magetan, East Java, Indonesia.
  • E. Lulusar Lake
    Lulusar Lake is a scenic high-altitude lake in Pakistan’s Kaghan Valley, renowned for its clear waters and surrounding mountain landscapes.
  • 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_69d381a94c1881908fc38fc263d9b9c2 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d27235ec819086152771206453f2 completed April 7, 2026, 9:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69d75001586c8190a0d4af1ff5588f0e completed April 9, 2026, 7:06 a.m.
Created at: April 6, 2026, 11:35 a.m.