Triple
T22907420
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Capistrano, Italy |
E568484
|
entity |
| Predicate | hasNameInItalian |
P17612
|
FINISHED |
| Object | Capistrano |
—
|
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: Capistrano | Statement: [Capistrano, Italy, hasNameInItalian, Capistrano]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Capistrano Context triple: [Capistrano, Italy, hasNameInItalian, Capistrano]
-
A.
Capistrano
chosen
Capistrano is a small Italian town and comune in the Calabria region, known for its rural setting and traditional southern Italian character.
-
B.
Buildpack
A buildpack is a modular set of scripts and configuration used to detect, compile, and prepare application code for deployment on platforms-as-a-service.
-
C.
Jenkins
Jenkins is a common English-language surname borne by numerous notable individuals across sports, politics, arts, and other fields.
-
D.
Jenkins
Jenkins is the enigmatic, scholarly caretaker of the Library in the fantasy-adventure TV series "The Librarians," known for his vast knowledge of magic and history.
-
E.
Jenkins
Jenkins is a fictional character who serves as the main protagonist in the story "City."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e2458cd9e48190943ad2e34485d939 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f18071b9ec81908922d5f046f7930a |
completed | April 29, 2026, 3:52 a.m. |
Created at: April 17, 2026, 3:42 p.m.