Triple
T33052210
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amo (Buccleuch motto) |
E845755
|
entity |
| Predicate | tenseAndPerson |
P19255
|
FINISHED |
| Object | first person singular present indicative |
—
|
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: first person singular present indicative | Statement: [Amo (Buccleuch motto), tenseAndPerson, first person singular present indicative]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tenseAndPerson Context triple: [Amo (Buccleuch motto), tenseAndPerson, first person singular present indicative]
-
A.
grammaticalPersonOfVerb
Indicates the grammatical person (first, second, or third person) associated with a given verb form.
-
B.
hasTense
Indicates that an action, event, or state is associated with a specific grammatical tense (such as past, present, or future).
-
C.
grammaticalPerson
Indicates the grammatical role of a participant in speech (such as first, second, or third person) in relation to the speaker and listener.
-
D.
conjugationType
Indicates the specific pattern or class of inflectional changes a verb follows when it is conjugated.
-
E.
hasTenseAspect
chosen
Indicates that a verb or clause is associated with a specific grammatical tense and aspect configuration.
- 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_69f3495242e48190996a2cb2beab5455 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6d6a6b04c8190bee4cf9c00665ef7 |
completed | May 3, 2026, 5:01 a.m. |
| PD | Predicate disambiguation | batch_69f6d27120988190aacec621cf2bf0e8 |
completed | May 3, 2026, 4:43 a.m. |
Created at: May 1, 2026, 1:24 a.m.