Triple
T16906754
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Proto-Sinaitic letter ʿayin |
E424582
|
entity |
| Predicate | graphemicStatus |
P48764
|
FINISHED |
| Object | distinct consonant sign |
—
|
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: distinct consonant sign | Statement: [Proto-Sinaitic letter ʿayin, graphemicStatus, distinct consonant sign]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: graphemicStatus Context triple: [Proto-Sinaitic letter ʿayin, graphemicStatus, distinct consonant sign]
-
A.
graphemicUnit
Indicates a relationship where one element functions as a basic written symbol or character unit within a writing system.
-
B.
graphemeInventory
Indicates the set of distinct written symbols or characters used in a language or writing system.
-
C.
hasOrthographyStatus
Indicates the orthographic status or condition of how something is written or spelled, such as its conformity to a particular writing system or standard.
-
D.
alphabeticStatus
Indicates the relative ordering or position of entities based on alphabetical sequence.
-
E.
linguisticFeatureStatus
chosen
Indicates the current condition or state of a particular linguistic feature (such as whether it is present, active, obsolete, or otherwise characterized) in relation to an entity.
- 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_69d889da3e8c8190a2b118f383f0beac |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e3ca39f9b08190b15106c6caf895ec |
completed | April 18, 2026, 6:15 p.m. |
| PD | Predicate disambiguation | batch_69e32b9489408190bcb2ede567ff5bf9 |
completed | April 18, 2026, 6:58 a.m. |
Created at: April 10, 2026, 5:30 a.m.