Triple

T21862185
Position Surface form Disambiguated ID Type / Status
Subject Four Seasons Resort Bali at Sayan E539790 entity
Predicate location P40 FINISHED
Object Sayan
Sayan is a lush, river-valley village in Ubud, Bali, known for its terraced rice fields, jungle scenery, and luxury resorts.
E1505528 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: Sayan | Statement: [Four Seasons Resort Bali at Sayan, location, Sayan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sayan
Context triple: [Four Seasons Resort Bali at Sayan, location, Sayan]
  • A. Sayanse
    Sayanse is an alternative name for Sayanci, a language spoken by the Sayawa people of northern Nigeria.
  • B. Sayán
    Sayán is a small Peruvian town in the Lima region, known for its agricultural production and warm valley climate.
  • C. Sayran
    Sayran is a metro station on the Almaty Metro system in Almaty, Kazakhstan.
  • D. Siberut
    Siberut is the largest and most remote of Indonesia’s Mentawai Islands, known for its rich rainforest biodiversity and the traditional culture of the indigenous Mentawai people.
  • E. Aldan
    Aldan is a mining town in Russia’s Sakha Republic known for its significant gold deposits and remote Siberian location.
  • 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: Sayan
Triple: [Four Seasons Resort Bali at Sayan, location, Sayan]
Generated description
Sayan is a lush, river-valley village in Ubud, Bali, known for its terraced rice fields, jungle scenery, and luxury resorts.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Sayan
Target entity description: Sayan is a lush, river-valley village in Ubud, Bali, known for its terraced rice fields, jungle scenery, and luxury resorts.
  • A. Sayanse
    Sayanse is an alternative name for Sayanci, a language spoken by the Sayawa people of northern Nigeria.
  • B. Sayán
    Sayán is a small Peruvian town in the Lima region, known for its agricultural production and warm valley climate.
  • C. Sayran
    Sayran is a metro station on the Almaty Metro system in Almaty, Kazakhstan.
  • D. Siberut
    Siberut is the largest and most remote of Indonesia’s Mentawai Islands, known for its rich rainforest biodiversity and the traditional culture of the indigenous Mentawai people.
  • E. Aldan
    Aldan is a mining town in Russia’s Sakha Republic known for its significant gold deposits and remote Siberian location.
  • 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_69e0c47829648190bbe2d1d7033768ec completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f0d63beb00819092b8ec3a8ef55a39 completed April 28, 2026, 3:46 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a4bdacb6c8190b1087fc577abb1c6 completed May 17, 2026, 11:14 p.m.
NEDg Description generation batch_6a0a4ccdd0a881908d32425b7cbb30c4 completed May 17, 2026, 11:18 p.m.
NED2 Entity disambiguation (via description) batch_6a0a4de7d07c8190a0ccb1c229e7fc5d completed May 17, 2026, 11:23 p.m.
Created at: April 16, 2026, 6:56 p.m.