Triple
T15741623
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arabic Yaʼ |
E381614
|
entity |
| Predicate | hasDotCount |
P7181
|
FINISHED |
| Object | two dots |
—
|
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: two dots | Statement: [Arabic Yaʼ, hasDotCount, two dots]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDotCount Context triple: [Arabic Yaʼ, hasDotCount, two dots]
-
A.
hasAbbreviationDots
Indicates that an abbreviation is written with periods (dots) between its letters or components.
-
B.
hasDistinctDottedI
Indicates that an entity’s lowercase letter “i” is written or displayed with a visually distinct dot compared to other characters or styles.
-
C.
hasDigitCount
Indicates that one entity has a total number of digits equal to the value specified by the other entity.
-
D.
hasNumberOfPoints
chosen
Indicates that an entity is associated with a specific count of points it possesses or comprises.
-
E.
hasFullStop
Indicates that one entity terminates or is marked with a full stop (period) punctuation.
- 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_69d86d9cdb648190bf3171be0bd7d872 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e0b4d6b5788190883746ee82c799f5 |
completed | April 16, 2026, 10:07 a.m. |
| PD | Predicate disambiguation | batch_69e0052c6208819098165d61d378d13b |
completed | April 15, 2026, 9:37 p.m. |
Created at: April 10, 2026, 4:46 a.m.