Triple
T9577677
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rote languages |
E231084
|
entity |
| Predicate | haveDialectContinuum |
P84616
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Rote languages, haveDialectContinuum, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: haveDialectContinuum Context triple: [Rote languages, haveDialectContinuum, true]
-
A.
hasDialectContinuumWith
Indicates that two languages or dialects are part of a continuous chain of mutually intelligible varieties, without a clear boundary separating them.
-
B.
containsDialectContinuum
chosen
Indicates that one linguistic variety or region includes within it a dialect continuum, where neighboring dialects are mutually intelligible but differences accumulate over distance.
-
C.
usedInDialectContinuum
Indicates that something (such as a linguistic feature or form) is employed within and across varieties in a dialect continuum, rather than being confined to a single discrete dialect.
-
D.
regionOfDialectContinuum
Indicates that a dialect continuum is associated with, or occurs within, a specific geographic region.
-
E.
hasNumberOfDialects
Indicates the relationship between a language (or linguistic entity) and the count of distinct dialects it possesses.
- 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_69ca848091c48190bc313d6620d09555 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd99ad7d108190a0b8c975351ea727 |
completed | April 1, 2026, 10:18 p.m. |
| PD | Predicate disambiguation | batch_69ccd59fd7408190b36831902e3f37f7 |
completed | April 1, 2026, 8:21 a.m. |
Created at: March 30, 2026, 8:05 p.m.