Triple

T12448091
Position Surface form Disambiguated ID Type / Status
Subject West Coast Division of Sabah E297453 entity
Predicate hasMajorUrbanCentre P316 FINISHED
Object Ranau
Ranau is a town in Sabah, Malaysia, known for its proximity to Mount Kinabalu and its role as a gateway to highland agricultural and eco-tourism areas.
E984012 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: Ranau | Statement: [West Coast Division of Sabah, hasMajorUrbanCentre, Ranau]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ranau
Context triple: [West Coast Division of Sabah, hasMajorUrbanCentre, Ranau]
  • A. Watampone
    Watampone is the main urban and administrative center of Bone Regency in South Sulawesi, Indonesia.
  • B. Pendau
    Pendau is an Austronesian language spoken in Central Sulawesi, Indonesia, belonging to the Tomini–Tolitoli subgroup.
  • C. Sungailiat
    Sungailiat is a coastal town on the island of Bangka in Indonesia, known for its tin mining history and nearby beaches.
  • D. Barito
    Barito is a subgroup of the Austronesian language family comprising several related languages spoken primarily along the Barito River region of southern Borneo.
  • E. Kayan
    The Kayan are an indigenous Dayak ethnic group of Borneo, known for their riverine longhouse communities, traditional craftsmanship, and distinctive cultural practices in regions such as Sarawak.
  • 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: Ranau
Triple: [West Coast Division of Sabah, hasMajorUrbanCentre, Ranau]
Generated description
Ranau is a town in Sabah, Malaysia, known for its proximity to Mount Kinabalu and its role as a gateway to highland agricultural and eco-tourism areas.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Ranau
Target entity description: Ranau is a town in Sabah, Malaysia, known for its proximity to Mount Kinabalu and its role as a gateway to highland agricultural and eco-tourism areas.
  • A. Watampone
    Watampone is the main urban and administrative center of Bone Regency in South Sulawesi, Indonesia.
  • B. Pendau
    Pendau is an Austronesian language spoken in Central Sulawesi, Indonesia, belonging to the Tomini–Tolitoli subgroup.
  • C. Sungailiat
    Sungailiat is a coastal town on the island of Bangka in Indonesia, known for its tin mining history and nearby beaches.
  • D. Barito
    Barito is a subgroup of the Austronesian language family comprising several related languages spoken primarily along the Barito River region of southern Borneo.
  • E. Kayan
    The Kayan are an indigenous Dayak ethnic group of Borneo, known for their riverine longhouse communities, traditional craftsmanship, and distinctive cultural practices in regions such as Sarawak.
  • 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_69d6ada166c48190b902972cd2408fa3 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94d9e592c81908cf7f3ca170d942c completed April 10, 2026, 7:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f63f1501448190b0a95d7cd249ca9d completed May 2, 2026, 6:14 p.m.
NEDg Description generation batch_69f640ef7dd08190bf78d04cffac1a44 completed May 2, 2026, 6:22 p.m.
NED2 Entity disambiguation (via description) batch_69f641abe114819093d99a327f2220c2 completed May 2, 2026, 6:25 p.m.
Created at: April 8, 2026, 9:56 p.m.