Triple

T30495291
Position Surface form Disambiguated ID Type / Status
Subject Western Katu E775987 entity
Predicate partOf P40 FINISHED
Object Katu dialect continuum
The Katu dialect continuum is a group of closely related Katuic language varieties spoken by the Katu people of Laos and Vietnam, forming a chain of mutually intelligible dialects rather than a single uniform language.
E1917980 NE FINISHED

How this triple was built (2 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: Katu dialect continuum | Statement: [Western Katu, partOf, Katu dialect continuum]
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: Katu dialect continuum
Triple: [Western Katu, partOf, Katu dialect continuum]
Generated description
The Katu dialect continuum is a group of closely related Katuic language varieties spoken by the Katu people of Laos and Vietnam, forming a chain of mutually intelligible dialects rather than a single uniform language.

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_69f22498c5d481908aaea89e6fab8280 completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f6877a9d6c8190be5a001c93c3197f completed May 2, 2026, 11:23 p.m.
NED1 Entity disambiguation (via context triple) batch_6a27ac30c5a88190b4f1a2a7b1ec68aa completed June 9, 2026, 6:01 a.m.
NEDg Description generation batch_6a27b00f46f88190977ade25095d7011 completed June 9, 2026, 6:17 a.m.
NED2 Entity disambiguation (via description) batch_6a27b0de95cc8190b7550ec09c1260e2 completed June 9, 2026, 6:21 a.m.
Created at: April 29, 2026, 8:14 p.m.