Triple
T31464885
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | HamNoSys |
E802696
|
entity |
| Predicate | supportsLevelOfDetail |
P109501
|
FINISHED |
| Object | fine-grained phonetic description of signs |
—
|
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: fine-grained phonetic description of signs | Statement: [HamNoSys, supportsLevelOfDetail, fine-grained phonetic description of signs]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsLevelOfDetail Context triple: [HamNoSys, supportsLevelOfDetail, fine-grained phonetic description of signs]
-
A.
hasTopographicDetailLevel
Indicates the degree of granularity or resolution at which the topographic characteristics of something are represented or described.
-
B.
representationLevel
Indicates the degree or layer at which something stands in for, models, or symbolizes something else (e.g., more concrete vs. more abstract representation).
-
C.
hasCanonicalDetailLevel
Indicates that an entity is associated with a standard or authoritative level of detail used as its canonical representation.
-
D.
granularityLevel
chosen
Indicates the degree of detail or resolution at which something is specified, measured, or analyzed within a given context.
-
E.
representedLevel
Indicates that one entity denotes or encodes the degree, intensity, or value (i.e., the level) of another entity or property.
- 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_69f348c84c1c81908739f100ecf7394e |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_6a037c876524819098545e6037d3107d |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379e7aa0c8190bdc9ee4d54fc821b |
completed | May 12, 2026, 7:05 p.m. |
Created at: April 30, 2026, 9:22 p.m.