Triple
T19311852
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Laos and Vietnam |
E482990
|
entity |
| Predicate | shareEthnicGroups |
P70558
|
FINISHED |
| Object | Tai-speaking peoples |
—
|
LITERAL 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: Tai-speaking peoples | Statement: [Laos and Vietnam, shareEthnicGroups, Tai-speaking peoples]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: shareEthnicGroups Context triple: [Laos and Vietnam, shareEthnicGroups, Tai-speaking peoples]
-
A.
sharesEthnicity
Indicates that two entities belong to the same ethnic group or share the same ethnic background.
-
B.
ethnolinguisticGroups
Indicates a relationship where groups are categorized or associated based on shared ethnic and linguistic characteristics.
-
C.
otherEthnicGroup
Indicates that one entity belongs to a different ethnic group than the other entity.
-
D.
ethnicGroupOfCountry
chosen
Indicates that a particular ethnic group is associated with, or forms part of the population of, a given country.
-
E.
ethnicGroupBase
Indicates that one entity serves as the primary or foundational ethnic group from which another entity is derived, associated, or defined.
- F. None of above.
Provenance (3 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_69d8e8d04d5c8190baa816986f2b1d1e |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e604ce5de081909811c49f56ba94bb |
completed | April 20, 2026, 10:49 a.m. |
| PD | Predicate disambiguation | batch_69e4dd0ef66881909d489d634eee817a |
completed | April 19, 2026, 1:47 p.m. |
Created at: April 10, 2026, 1:32 p.m.