Triple
T31305951
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hunan linguistic area |
E798336
|
entity |
| Predicate | hasTypeOfIsogloss |
P197202
|
FINISHED |
| Object | phonological isoglosses |
—
|
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: phonological isoglosses | Statement: [Hunan linguistic area, hasTypeOfIsogloss, phonological isoglosses]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTypeOfIsogloss Context triple: [Hunan linguistic area, hasTypeOfIsogloss, phonological isoglosses]
-
A.
sharesIsoglossWith
Indicates that two linguistic varieties share a common isogloss, i.e., they exhibit the same geographically bounded linguistic feature or boundary.
-
B.
hasISO639Type
Indicates the classification of a language resource according to its ISO 639 code type (e.g., ISO 639-1, 639-2, 639-3).
-
C.
hasGlottologEntryType
Indicates that a glottolog entry is classified as having a specific type or category within the Glottolog database.
-
D.
hasLinguisticVariationType
Indicates that one linguistic form is related to another by a specific type of variation, such as dialectal, orthographic, morphological, or phonological difference.
-
E.
hasLanguageType
Indicates that an entity is associated with a particular type or category of language (e.g., spoken, written, programming, sign).
- 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_69f224e0bd4c8190aab9b29a73f7aa3c |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69fe7bfc94bc81909eeec946e8c1c450 |
completed | May 9, 2026, 12:12 a.m. |
| PD | Predicate disambiguation | batch_69fe7b74a1188190886f128e07f712da |
completed | May 9, 2026, 12:10 a.m. |
| PDg | Predicate description generation | batch_69fe7bfb71b08190bed5c33e4ab7afff |
completed | May 9, 2026, 12:12 a.m. |
Created at: April 29, 2026, 9:14 p.m.