Triple

T6576865
Position Surface form Disambiguated ID Type / Status
Subject Kaxabu language E157187 entity
Predicate isSpokenIn P7445 FINISHED
Object Caotun
Caotun is a township in central Taiwan notable for its indigenous cultural presence, including communities that speak the Kaxabu language.
E602359 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: Caotun | Statement: [Kaxabu language, isSpokenIn, Caotun]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Caotun
Context triple: [Kaxabu language, isSpokenIn, Caotun]
  • A. Cadaval
    Cadaval is a municipality and town in western Portugal known for its agricultural landscape and proximity to the Montejunto mountain range.
  • B. Kurux
    Kurux is a Dravidian language spoken primarily by the Kurukh (Oraon) people in eastern and central India and parts of Bangladesh.
  • C. Kingaama
    Kingaama is a Bantu language belonging to the Sabaki branch, spoken along the East African coast.
  • D. Calvera
    Calvera is the ruthless bandit leader and primary antagonist who terrorizes a Mexican village in the Western film "The Magnificent Seven" (1960).
  • E. Tianeti
    Tianeti is a small town and administrative center in eastern Georgia, situated in the mountainous Mtskheta-Mtianeti 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: Caotun
Triple: [Kaxabu language, isSpokenIn, Caotun]
Generated description
Caotun is a township in central Taiwan notable for its indigenous cultural presence, including communities that speak the Kaxabu language.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Caotun
Target entity description: Caotun is a township in central Taiwan notable for its indigenous cultural presence, including communities that speak the Kaxabu language.
  • A. Cadaval
    Cadaval is a municipality and town in western Portugal known for its agricultural landscape and proximity to the Montejunto mountain range.
  • B. Kurux
    Kurux is a Dravidian language spoken primarily by the Kurukh (Oraon) people in eastern and central India and parts of Bangladesh.
  • C. Kingaama
    Kingaama is a Bantu language belonging to the Sabaki branch, spoken along the East African coast.
  • D. Calvera
    Calvera is the ruthless bandit leader and primary antagonist who terrorizes a Mexican village in the Western film "The Magnificent Seven" (1960).
  • E. Tianeti
    Tianeti is a small town and administrative center in eastern Georgia, situated in the mountainous Mtskheta-Mtianeti 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_69c6882b3a108190b3a9eb343ae4162c completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6ae7399488190b5f6948c60188aec completed March 27, 2026, 4:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6cba0182c8190a30bc5e6fea4680e completed March 27, 2026, 6:25 p.m.
NEDg Description generation batch_69c6cd071be4819090d6adf0e27c99d2 completed March 27, 2026, 6:31 p.m.
NED2 Entity disambiguation (via description) batch_69c6ce04855481908bfca416fda8c218 completed March 27, 2026, 6:35 p.m.
Created at: March 27, 2026, 1:54 p.m.