Triple
T10920744
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bouyei language |
E257937
|
entity |
| Predicate | hasAlternativeFamilyName |
P96655
|
FINISHED |
| Object | Kadai |
—
|
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: Kadai | Statement: [Bouyei language, hasAlternativeFamilyName, Kadai]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAlternativeFamilyName Context triple: [Bouyei language, hasAlternativeFamilyName, Kadai]
-
A.
hasAlternativeNameForSameCity
Indicates that one city name is an alternative or variant name referring to the same city as another name.
-
B.
hasFamilyNameOf
Indicates that one entity bears or uses the same family name (surname) as another entity.
-
C.
hasOfficialNameVariant
Indicates that an entity has an alternative official form or version of its name.
-
D.
hasNameInFamily
Indicates that an entity is known or referred to by a particular name within the context of a specific family or familial group.
-
E.
hasLaterNameInEnglish
Indicates that an entity is known by a different English name at a later time or in a subsequent context.
- F. None of above. chosen
Provenance (4 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_69d6aa864ed88190818280ab6791d065 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d77082a1488190850a4409339c3e1e |
completed | April 9, 2026, 9:25 a.m. |
| PD | Predicate disambiguation | batch_69d72e799f808190b6ab64fc7586a303 |
completed | April 9, 2026, 4:43 a.m. |
| PDg | Predicate description generation | batch_69d7322370648190ba14cdd6fb4cdcb0 |
completed | April 9, 2026, 4:59 a.m. |
Created at: April 8, 2026, 9:22 p.m.