Triple
T13451296
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Modern Spanish |
E320611
|
entity |
| Predicate | hasSecondPersonPluralForms |
P44278
|
FINISHED |
| Object | vosotros |
—
|
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: vosotros | Statement: [Modern Spanish, hasSecondPersonPluralForms, vosotros]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSecondPersonPluralForms Context triple: [Modern Spanish, hasSecondPersonPluralForms, vosotros]
-
A.
hasPluralForm
Indicates that one term is the plural grammatical form of another term.
-
B.
usesSecondPersonPluralPronoun
chosen
Indicates that the subject employs a second-person plural pronoun (such as "you" in its plural sense) when addressing others.
-
C.
hasCaseForms
Indicates that an entity possesses multiple grammatical case variants or inflected forms associated with it.
-
D.
genderedPluralForm
Indicates that the plural form of a term is specifically marked or inflected to reflect a particular gender.
-
E.
hasTwoWordForm
Indicates that an entity is represented or expressed using a form consisting of exactly two words.
- 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_69d80761e6cc8190a90c844589998ecc |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbaef973b08190a3d7fe1c2a913cff |
completed | April 12, 2026, 2:40 p.m. |
| PD | Predicate disambiguation | batch_69d9a03ce03481908c61094f0cc0c158 |
completed | April 11, 2026, 1:13 a.m. |
Created at: April 9, 2026, 9:41 p.m.