Triple
T5537620
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Castellanatese |
E145203
|
entity |
| Predicate | hasAdjectiveForm |
P64799
|
FINISHED |
| Object | relating to Castellaneta |
—
|
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: relating to Castellaneta | Statement: [Castellanatese, hasAdjectiveForm, relating to Castellaneta]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAdjectiveForm Context triple: [Castellanatese, hasAdjectiveForm, relating to Castellaneta]
-
A.
hasAdjectiveEnding
Indicates that something possesses or is marked by a particular adjective-like ending or suffix.
-
B.
hasAdjectiveDeclensionType
Indicates that an adjective is associated with a specific pattern or type of grammatical declension.
-
C.
hasAdverbEnding
Indicates that something (typically a word) ends with a suffix or form characteristic of an adverb.
-
D.
hasPositiveForm
Indicates that one form, variant, or expression is the positive (non-comparative, non-superlative, or affirmative) version of another.
-
E.
hasTwoWordForm
Indicates that an entity is represented or expressed using a form consisting of exactly two words.
- 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_69c008fa64888190adae56c8f9ea4031 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c01fb19cb8819088b21e8ebef63d8b |
completed | March 22, 2026, 4:58 p.m. |
| PD | Predicate disambiguation | batch_69c01b0c50e48190a1b03ecd20ca440b |
completed | March 22, 2026, 4:38 p.m. |
| PDg | Predicate description generation | batch_69c01f4032408190a4f0d2eb21ebd870 |
completed | March 22, 2026, 4:56 p.m. |
Created at: March 22, 2026, 3:34 p.m.