Triple
T2459117
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Scottish Vowel Length Rule |
E54489
|
entity |
| Predicate | shortensBefore |
P40634
|
FINISHED |
| Object | most other consonants |
—
|
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: most other consonants | Statement: [Scottish Vowel Length Rule, shortensBefore, most other consonants]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: shortensBefore Context triple: [Scottish Vowel Length Rule, shortensBefore, most other consonants]
-
A.
isShort
Indicates that one entity has a relatively small height, length, or duration compared to a standard or to other entities.
-
B.
formatBefore
Indicates that one item’s format or formatting must occur or be applied prior to another item’s format or formatting.
-
C.
significantlyShortensRouteBetween
Indicates that one entity provides a connection between two others that makes the path or travel distance between them substantially shorter than alternative routes.
-
D.
previousAbbreviation
Indicates that one abbreviation was used earlier or previously in place of another for the same entity or term.
-
E.
hasShortTitle
Indicates that an entity is associated with a brief or abbreviated title.
- F. None of above. chosen
Provenance (4 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_69ab49dee84c819096b50a0049c347ac |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abd49c5aa081909ab4f726a458b77f |
completed | March 7, 2026, 7:32 a.m. |
| PD | Predicate disambiguation | batch_69abd0b199488190aa381b36593ae1ac |
completed | March 7, 2026, 7:16 a.m. |
| PDg | Predicate description generation | batch_69abd49b5d2481908817aeb171e2bd61 |
completed | March 7, 2026, 7:32 a.m. |
Created at: March 6, 2026, 9:44 p.m.