Triple

T2686073
Position Surface form Disambiguated ID Type / Status
Subject Sabah E57487 entity
Predicate hasEthnicGroup P1898 FINISHED
Object Rungus
The Rungus are an indigenous ethnic group of northern Borneo known for their distinctive longhouse communities, intricate beadwork, and rich traditional customs.
 E288596 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: Rungus | Statement: [Sabah, hasEthnicGroup, Rungus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Rungus
Context triple: [Sabah, hasEthnicGroup, Rungus]
  • A. Bachok
    Bachok is a coastal town and district in the Malaysian state of Kelantan, known for its beaches and traditional Malay fishing villages.
  • B. Bantia
    Bantia was an ancient Oscan-speaking city in southern Italy, notable for yielding important inscriptions that illuminate the Oscan language and Italic legal traditions.
  • C. Kuala Krai
    Kuala Krai is a town and district capital in the interior of Kelantan, Malaysia, known as a regional administrative and commercial center along the Kelantan River.
  • D. Rangat
    Rangat is a coastal town and administrative hub located on Middle Andaman Island in the Andaman and Nicobar Islands, India.
  • E. Kusno
    Kusno was the birth name of Sukarno, the first President of Indonesia and a leading figure in the country’s independence movement.
  • 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: Rungus
Triple: [Sabah, hasEthnicGroup, Rungus]
Generated description
The Rungus are an indigenous ethnic group of northern Borneo known for their distinctive longhouse communities, intricate beadwork, and rich traditional customs.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Rungus
Target entity description: The Rungus are an indigenous ethnic group of northern Borneo known for their distinctive longhouse communities, intricate beadwork, and rich traditional customs.
  • A. Bachok
    Bachok is a coastal town and district in the Malaysian state of Kelantan, known for its beaches and traditional Malay fishing villages.
  • B. Bantia
    Bantia was an ancient Oscan-speaking city in southern Italy, notable for yielding important inscriptions that illuminate the Oscan language and Italic legal traditions.
  • C. Kuala Krai
    Kuala Krai is a town and district capital in the interior of Kelantan, Malaysia, known as a regional administrative and commercial center along the Kelantan River.
  • D. Rangat
    Rangat is a coastal town and administrative hub located on Middle Andaman Island in the Andaman and Nicobar Islands, India.
  • E. Kusno
    Kusno was the birth name of Sukarno, the first President of Indonesia and a leading figure in the country’s independence movement.
  • 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_69ab4a5028388190a36f3baf1588309e completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd9ef2fe0819082bbe746ca682a7e completed March 7, 2026, 7:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69afa07228088190bb4942b3a25c938b completed March 10, 2026, 4:39 a.m.
NEDg Description generation batch_69afa0ff9c10819096d06ead6dc87d04 completed March 10, 2026, 4:41 a.m.
NED2 Entity disambiguation (via description) batch_69afa1e4ffb08190a6d96665ee566ea7 completed March 10, 2026, 4:45 a.m.
Created at: March 6, 2026, 9:54 p.m.