Triple

T1945883
Position Surface form Disambiguated ID Type / Status
Subject Austroasiatic E42054 entity
Predicate hasLanguage P15 FINISHED
Object Katuic
Katuic is a branch of the Austroasiatic language family spoken primarily in parts of Laos, Vietnam, and neighboring regions of Southeast Asia.
 E220619 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: Katuic | Statement: [Austroasiatic, hasLanguage, Katuic]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Katuic
Context triple: [Austroasiatic, hasLanguage, Katuic]
  • A. Thebae
    Thebae is the Latin name for the ancient Egyptian city of Thebes, a major religious and political center on the Nile known for its temples and royal necropolis.
  • B. Evessa
    Evessa is a professional basketball team based in Osaka, Japan, competing in the B.League.
  • C. Caesonia
    Caesonia is a Roman cognomen (family name) used by women of the gens Atia in ancient Rome.
  • D. Alfidia
    Alfidia was a Roman noblewoman of the late Republic, best known as the mother of Livia Drusilla, the future wife of Emperor Augustus.
  • 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: Katuic
Triple: [Austroasiatic, hasLanguage, Katuic]
Generated description
Katuic is a branch of the Austroasiatic language family spoken primarily in parts of Laos, Vietnam, and neighboring regions of Southeast Asia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Katuic
Target entity description: Katuic is a branch of the Austroasiatic language family spoken primarily in parts of Laos, Vietnam, and neighboring regions of Southeast Asia.
  • A. Thebae
    Thebae is the Latin name for the ancient Egyptian city of Thebes, a major religious and political center on the Nile known for its temples and royal necropolis.
  • B. Evessa
    Evessa is a professional basketball team based in Osaka, Japan, competing in the B.League.
  • C. Caesonia
    Caesonia is a Roman cognomen (family name) used by women of the gens Atia in ancient Rome.
  • D. Alfidia
    Alfidia was a Roman noblewoman of the late Republic, best known as the mother of Livia Drusilla, the future wife of Emperor Augustus.
  • 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_69a8870e08fc8190a319cbf2600db15f completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb300af2481908ae359972843c1ef completed March 7, 2026, 5:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69adfbbcc5688190aad081dc8d119e7f completed March 8, 2026, 10:44 p.m.
NEDg Description generation batch_69adfc50a3488190afe44ee5125d9ebd completed March 8, 2026, 10:46 p.m.
NED2 Entity disambiguation (via description) batch_69adfcdccce48190a2591b90c81ad084 completed March 8, 2026, 10:49 p.m.
Created at: March 4, 2026, 7:36 p.m.