Triple

T8837447
Position Surface form Disambiguated ID Type / Status
Subject Magetan E210300 entity
Predicate hasNearbyLake P17985 FINISHED
Object Sarangan Lake E761562 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: Sarangan Lake | Statement: [Magetan, hasNearbyLake, Sarangan Lake]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sarangan Lake
Context triple: [Magetan, hasNearbyLake, Sarangan Lake]
  • A. Sarangan Lake chosen
    Sarangan Lake is a popular natural mountain lake and tourist destination located in the highlands of Magetan, East Java, Indonesia.
  • B. 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.
  • C. 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.
  • D. Vihar Lake
    Vihar Lake is an artificial freshwater reservoir in Mumbai, India, that serves as one of the city’s important sources of drinking water and lies within the Sanjay Gandhi National Park.
  • 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_69ca8388549c819095fd94eadefbb007 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc606adde08190825dbdabd199c025 completed April 1, 2026, 12:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfab79954081908c727d0561208f9c completed April 3, 2026, 11:58 a.m.
Created at: March 30, 2026, 6:48 p.m.