Triple
T27779643
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Campagnone |
E699297
|
entity |
| Predicate | hasPluralOrCollectiveForm |
P5088
|
FINISHED |
| Object | Campagnoni |
—
|
NE NERFINISHED |
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: Campagnoni | Statement: [Campagnone, hasPluralOrCollectiveForm, Campagnoni]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPluralOrCollectiveForm Context triple: [Campagnone, hasPluralOrCollectiveForm, Campagnoni]
-
A.
hasPluralForm
chosen
Indicates that one term is the plural grammatical form of another term.
-
B.
hasPlurality
Indicates that an entity or concept exists or is expressed in a plural form rather than a singular one.
-
C.
hasConjunctForms
Indicates that an entity is associated with one or more conjunct (combined or compound) forms of itself or related elements.
-
D.
hasCaseForms
Indicates that an entity possesses multiple grammatical case variants or inflected forms associated with it.
-
E.
hasScalarForm
Indicates that something possesses or can be represented in a single-valued (scalar) form rather than as a vector, matrix, or more complex structure.
- 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_69ef6a4b5a9081909c9111396c2be3d2 |
completed | April 27, 2026, 1:53 p.m. |
| NER | Named-entity recognition | batch_69f70e8755a48190931eaa77946f9460 |
completed | May 3, 2026, 8:59 a.m. |
| PD | Predicate disambiguation | batch_69f70abc00848190a1c3f495ef6c8dc6 |
completed | May 3, 2026, 8:43 a.m. |
Created at: April 27, 2026, 5:09 p.m.