Triple
T35569460
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Spurius |
E1027869
|
entity |
| Predicate | declension |
P183413
|
FINISHED |
| Object | second declension Latin noun |
—
|
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: second declension Latin noun | Statement: [Spurius, declension, second declension Latin noun]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: declension Context triple: [Spurius, declension, second declension Latin noun]
-
A.
declination
Indicates the angular deviation of one direction or object from a reference plane or axis, typically measuring how far it is tilted or offset.
-
B.
inflectionOf
Indicates that one linguistic form is an inflected variant of another base or lemma form.
-
C.
decline
Indicates a decrease or reduction in the level, amount, quality, or intensity of something over time.
-
D.
hasAdjectiveDeclensionType
Indicates that an adjective is associated with a specific pattern or type of grammatical declension.
-
E.
grammaticalForm
Indicates the specific grammatical structure or morphological form that an expression or word takes in a given linguistic context.
- 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_69f76e020fd8819081cb080e7e203083 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f79f7340e4819092a1a47f7028e63f |
completed | May 3, 2026, 7:18 p.m. |
| PD | Predicate disambiguation | batch_69f79e4bdbcc8190be7a0d2cf8a77b64 |
completed | May 3, 2026, 7:13 p.m. |
| PDg | Predicate description generation | batch_69f79ec14ce08190b22cee0b40d33743 |
completed | May 3, 2026, 7:15 p.m. |
Created at: May 3, 2026, 4:04 p.m.