Triple
T714873
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Achterhooks |
E14290
|
entity |
| Predicate | hasConsonantFeature |
P4249
|
FINISHED |
| Object | Low Saxon /g/ and /k/ contrasts |
—
|
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: Low Saxon /g/ and /k/ contrasts | Statement: [Achterhooks, hasConsonantFeature, Low Saxon /g/ and /k/ contrasts]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasConsonantFeature Context triple: [Achterhooks, hasConsonantFeature, Low Saxon /g/ and /k/ contrasts]
-
A.
hasConsonantSigns
Indicates that one entity possesses or includes consonant sign characters as part of its representation or structure.
-
B.
hasNumberOfConsonantLetters
Indicates the relationship between an entity and the count of consonant letters present in its written form.
-
C.
hasConsonantGradation
Indicates that a word undergoes systematic alternation of its consonants (consonant gradation) in different morphological or phonological forms.
-
D.
hasPhonemicContrast
chosen
Indicates that two or more speech sounds are distinguished in a language by differences that change word meaning.
-
E.
hasPhoneme
Indicates that a linguistic unit (such as a word or morpheme) contains or includes a particular phoneme as part of its sound structure.
- 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_69a4934a36e081909e7abef98b898a4e |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a5738e04819082eac673b3b7c4c2 |
completed | March 1, 2026, 8:45 p.m. |
| PD | Predicate disambiguation | batch_69a4a4f38898819089d79bad4f4ff2d2 |
completed | March 1, 2026, 8:43 p.m. |
Created at: March 1, 2026, 7:36 p.m.