Triple

T7362525
Position Surface form Disambiguated ID Type / Status
Subject Mount Kelimutu E169784 entity
Predicate nearSettlement P3883 FINISHED
Object Moni
Moni is a small village in central Flores, Indonesia, known primarily as the main gateway for visitors trekking to the multicolored crater lakes of Mount Kelimutu.
E658087 NE FINISHED

How this triple was built (4 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: Moni | Statement: [Mount Kelimutu, nearSettlement, Moni]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Moni
Context triple: [Mount Kelimutu, nearSettlement, Moni]
  • A. Moniaive
    Moniaive is a small rural village in southwest Scotland known for its scenic surroundings and vibrant arts and music community.
  • B. MONA
    MONA is a renowned private art museum in Hobart, Tasmania, known for its provocative contemporary and ancient art collections and unconventional, immersive visitor experience.
  • C. Rotima
    Rotima is a small settlement located on the island of Nonouti in the Republic of Kiribati.
  • D. Mona
    Mona is a feminine given name used in various cultures, often as a standalone name or a diminutive of names like Ramona or Simona.
  • E. Mona
    Mona is a residential and academic community in the Parish of St. Andrew, Jamaica, best known as the main campus location of the University of the West Indies.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Moni
Triple: [Mount Kelimutu, nearSettlement, Moni]
Generated description
Moni is a small village in central Flores, Indonesia, known primarily as the main gateway for visitors trekking to the multicolored crater lakes of Mount Kelimutu.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Moni
Target entity description: Moni is a small village in central Flores, Indonesia, known primarily as the main gateway for visitors trekking to the multicolored crater lakes of Mount Kelimutu.
  • A. Moniaive
    Moniaive is a small rural village in southwest Scotland known for its scenic surroundings and vibrant arts and music community.
  • B. MONA
    MONA is a renowned private art museum in Hobart, Tasmania, known for its provocative contemporary and ancient art collections and unconventional, immersive visitor experience.
  • C. Rotima
    Rotima is a small settlement located on the island of Nonouti in the Republic of Kiribati.
  • D. Mona
    Mona is a feminine given name used in various cultures, often as a standalone name or a diminutive of names like Ramona or Simona.
  • E. Mona
    Mona is a residential and academic community in the Parish of St. Andrew, Jamaica, best known as the main campus location of the University of the West Indies.
  • F. None of above. chosen

Provenance (5 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_69c68a5ade988190885b7175f63b7534 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f15f218081909b5cc7a8cc695055 completed March 27, 2026, 9:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7fab3a9d88190b9193dd0729eba5a completed March 28, 2026, 3:58 p.m.
NEDg Description generation batch_69c7fbe2a86881909be54dac809aa9af completed March 28, 2026, 4:03 p.m.
NED2 Entity disambiguation (via description) batch_69c7fc84fff48190b4b43da21a9ede51 completed March 28, 2026, 4:06 p.m.
Created at: March 27, 2026, 3:06 p.m.