Triple
T33687765
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tangere |
E863086
|
entity |
| Predicate | personConjugationExample |
P137279
|
FINISHED |
| Object | tango (1st person singular present active 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: tango (1st person singular present active indicative) | Statement: [Tangere, personConjugationExample, tango (1st person singular present active indicative)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: personConjugationExample Context triple: [Tangere, personConjugationExample, tango (1st person singular present active indicative)]
-
A.
workConjugateTo
Indicates that one work is a conjugate or transformed counterpart of another under a specific structural or functional mapping.
-
B.
isConjugatedTo
chosen
Indicates that two verb forms are related as different inflectional variants of the same verb through conjugation.
-
C.
grammaticalPersonOfVerb
Indicates the grammatical person (first, second, or third person) associated with a given verb form.
-
D.
conjugationType
Indicates the specific pattern or class of inflectional changes a verb follows when it is conjugated.
-
E.
spokenForm
Indicates the way something is pronounced or expressed in spoken language, as opposed to its written or symbolic form.
- 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_69f3498662b48190904442c39df84fb7 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6fa65e4008190ace046bbbd856793 |
completed | May 3, 2026, 7:33 a.m. |
| PD | Predicate disambiguation | batch_69f6f96dd4c8819093d6a7bd046a9ad5 |
completed | May 3, 2026, 7:29 a.m. |
Created at: May 1, 2026, 1:43 a.m.