Triple
T2233649
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fur language |
E49227
|
entity |
| Predicate | hasSubjectPronouns |
P37239
|
FINISHED |
| Object | distinct singular and plural forms |
—
|
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: distinct singular and plural forms | Statement: [Fur language, hasSubjectPronouns, distinct singular and plural forms]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSubjectPronouns Context triple: [Fur language, hasSubjectPronouns, distinct singular and plural forms]
-
A.
hasPronounForIt
Indicates that one entity serves as the pronoun form referring to another entity.
-
B.
hasPronounForYouSingular
Indicates that there is a pronoun form specifically used to address a single person as "you" in the given language or context.
-
C.
hasPronounForI
Indicates that an entity is associated with or uses a specific pronoun corresponding to the first-person singular "I" in a given language or context.
-
D.
hasPronounForWe
Indicates that a language or system includes a specific pronoun form corresponding to the first-person plural "we."
-
E.
hasPronounSystem
Indicates that an entity possesses or employs a particular system or set of rules for using pronouns.
- 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_69a88aa84bdc819086df50e9c20b301e |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abc0913f1c8190ac9cfeb0f1c84a76 |
completed | March 7, 2026, 6:07 a.m. |
| PD | Predicate disambiguation | batch_69abbdafc07881909101266a33ae7031 |
completed | March 7, 2026, 5:54 a.m. |
| PDg | Predicate description generation | batch_69abbf9c77fc8190a323bcaf644fb2c5 |
completed | March 7, 2026, 6:03 a.m. |
Created at: March 4, 2026, 7:47 p.m.