Triple
T27968279
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 畲族 |
E704784
|
entity |
| Predicate | 语言系属 |
P10465
|
FINISHED |
| Object | 苗瑶语族 |
—
|
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: 苗瑶语族 | Statement: [畲族, 语言系属, 苗瑶语族]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 语言系属 Context triple: [畲族, 语言系属, 苗瑶语族]
-
A.
linguisticClassification
chosen
Indicates the relationship by which an entity is categorized according to its language or linguistic type.
-
B.
linguisticClassificationBasis
Indicates the criterion or principle used as the basis for classifying something within a linguistic system or framework.
-
C.
glottoCategory
Indicates the linguistic classification or type (such as language family, subgroup, or category) to which a language or dialect is assigned.
-
D.
studiesLanguageFamily
Indicates that an entity engages in the academic or systematic study of a particular language family.
-
E.
宗派言語
Indicates a relationship where a particular language is used or associated as the doctrinal or liturgical language of a specific religious sect or denomination.
- 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_69ef841061e48190b5570f9562f7434d |
completed | April 27, 2026, 3:43 p.m. |
| NER | Named-entity recognition | batch_69f63fd6c68481908c542aa03e297b9c |
completed | May 2, 2026, 6:17 p.m. |
| PD | Predicate disambiguation | batch_69f63c6895f0819088655277e45859a8 |
completed | May 2, 2026, 6:03 p.m. |
Created at: April 27, 2026, 7:36 p.m.