Triple

T8818999
Position Surface form Disambiguated ID Type / Status
Subject Galo E209852 entity
Predicate traditionalCouncil P14923 FINISHED
Object Kebang
Kebang is the traditional village council of the Galo people of Arunachal Pradesh, serving as their primary institution for community governance and dispute resolution.
E758185 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: Kebang | Statement: [Galo, traditionalCouncil, Kebang]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kebang
Context triple: [Galo, traditionalCouncil, Kebang]
  • A. Blang
    The Blang are an ethnic minority group primarily living in the mountainous regions of Yunnan Province in China, known for their tea cultivation and distinct language and culture.
  • B. Banggae
    Banggae is an alternative name for the Banggai language, an Austronesian language spoken in the Banggai Islands of Indonesia.
  • C. Bangangté
    Bangangté is a prominent city in western Cameroon known as an important administrative and commercial center of the West Region.
  • D. Kabiye
    Kabiye is a Gur language spoken primarily in northern Togo and recognized as one of the country's major national languages.
  • E. Bayang
    The Bayang are an indigenous ethnic group of southwestern Cameroon known for their distinct language, cultural traditions, and historical presence in the region.
  • 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: Kebang
Triple: [Galo, traditionalCouncil, Kebang]
Generated description
Kebang is the traditional village council of the Galo people of Arunachal Pradesh, serving as their primary institution for community governance and dispute resolution.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kebang
Target entity description: Kebang is the traditional village council of the Galo people of Arunachal Pradesh, serving as their primary institution for community governance and dispute resolution.
  • A. Blang
    The Blang are an ethnic minority group primarily living in the mountainous regions of Yunnan Province in China, known for their tea cultivation and distinct language and culture.
  • B. Banggae
    Banggae is an alternative name for the Banggai language, an Austronesian language spoken in the Banggai Islands of Indonesia.
  • C. Bangangté
    Bangangté is a prominent city in western Cameroon known as an important administrative and commercial center of the West Region.
  • D. Kabiye
    Kabiye is a Gur language spoken primarily in northern Togo and recognized as one of the country's major national languages.
  • E. Bayang
    The Bayang are an indigenous ethnic group of southwestern Cameroon known for their distinct language, cultural traditions, and historical presence in the region.
  • 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_69ca8364e13081909c85fe80f44fe86f completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc600e6e2881908934cbff0ab5d6fd completed April 1, 2026, midnight
NED1 Entity disambiguation (via context triple) batch_69cf6fc96a8481909d09835845ccdcbf completed April 3, 2026, 7:44 a.m.
NEDg Description generation batch_69cf70c981808190856827fbcd4c4671 completed April 3, 2026, 7:48 a.m.
NED2 Entity disambiguation (via description) batch_69cf71914ec48190bd623d8d773e7ca7 completed April 3, 2026, 7:51 a.m.
Created at: March 30, 2026, 6:46 p.m.