Triple
T28720726
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | maz (macrolanguage) |
E730085
|
entity |
| Predicate | isUsedForLinguisticClassification |
P123398
|
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: [maz (macrolanguage), isUsedForLinguisticClassification, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isUsedForLinguisticClassification Context triple: [maz (macrolanguage), isUsedForLinguisticClassification, true]
-
A.
linguisticClassification
Indicates the relationship by which an entity is categorized according to its language or linguistic type.
-
B.
linguisticClassificationBasis
chosen
Indicates the criterion or principle used as the basis for classifying something within a linguistic system or framework.
-
C.
hasLinguisticClassificationSource
Indicates the source or reference from which a linguistic classification has been derived or documented.
-
D.
linguisticClassificationNote
Indicates a note providing additional information or commentary about how something is linguistically classified.
-
E.
isCommonInLinguisticCommunity
Indicates that something (such as a word, expression, or linguistic feature) is widely used or frequently occurs within a particular linguistic community.
- 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_69f043e91fe48190b73bcd8e08d433e0 |
completed | April 28, 2026, 5:21 a.m. |
| NER | Named-entity recognition | batch_69f66d7765208190b87b1cc6d96a151c |
completed | May 2, 2026, 9:32 p.m. |
| PD | Predicate disambiguation | batch_69f66abfdaf08190a55f14c70be6fd4d |
completed | May 2, 2026, 9:21 p.m. |
Created at: April 28, 2026, 5:53 a.m.