Triple

T8837496
Position Surface form Disambiguated ID Type / Status
Subject Mount Lamongan E210301 entity
Predicate hasCraterLake P18447 FINISHED
Object Ranu Pakis E762061 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: Ranu Pakis | Statement: [Mount Lamongan, hasCraterLake, Ranu Pakis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ranu Pakis
Context triple: [Mount Lamongan, hasCraterLake, Ranu Pakis]
  • A. Ranu Pakis chosen
    Ranu Pakis is a volcanic crater lake in East Java, Indonesia, known for its scenic setting near Mount Lamongan.
  • B. Ranu Klakah
    Ranu Klakah is a volcanic crater lake in East Java, Indonesia, known for its scenic setting at the foot of Mount Lamongan.
  • C. Singa Barong
    Singa Barong is the iconic lion-like mask and character in the traditional Indonesian Reog Ponorogo performance, known for its massive, elaborately decorated tiger or lion head often adorned with peacock feathers.
  • D. Ranu Kumbolo
    Ranu Kumbolo is a scenic high-altitude lake in East Java, Indonesia, popular as a rest and camping spot for hikers on the route to Mount Semeru.
  • E. Wilis
    Wilis are vengeful female spirits of betrayed brides in the ballet "Giselle," who rise from their graves at night to force men to dance to their deaths.
  • 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_69cfba0934288190bc22dfee0a13124e completed April 3, 2026, 1 p.m.
Created at: March 30, 2026, 6:48 p.m.