Triple
T19422640
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saint Vincent |
E485895
|
entity |
| Predicate | diedIn |
P21
|
FINISHED |
| Object | Valentia |
—
|
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: Valentia | Statement: [Saint Vincent, diedIn, Valentia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Valentia Context triple: [Saint Vincent, diedIn, Valentia]
-
A.
Valentia
Valentia was a late Roman province in northern Britain, created during the later reorganization of Roman Britannia.
-
B.
Valentia Island
chosen
Valentia Island is a rugged, scenic island off Ireland’s southwest coast known for its dramatic Atlantic landscapes, historic transatlantic cable station, and rich geological heritage.
-
C.
Iona
Iona is a small rural community on Cape Breton Island in Nova Scotia, Canada, known for its scenic setting and strong Scottish Gaelic cultural heritage.
-
D.
Iona
Iona is a quirky, stylish, and supportive older friend and mentor to the protagonist in the 1986 teen romantic comedy film "Pretty in Pink."
-
E.
Iona
Iona is the former name of the city now known as Englewood in Montgomery County, Ohio.
- 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_69d8e8d688f881909c85104a62e09d8a |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e632159d7081909d004544ec5992c0 |
completed | April 20, 2026, 2:03 p.m. |
Created at: April 10, 2026, 1:37 p.m.