Triple
T19098208
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bliss |
E467461
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | St. Germain |
—
|
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: St. Germain | Statement: [Bliss, hasPart, St. Germain]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: St. Germain Context triple: [Bliss, hasPart, St. Germain]
-
A.
St Germain
chosen
St Germain is a Christian saint, traditionally venerated as a bishop and confessor whose cult spread widely across medieval Europe.
-
B.
Le Gosier
Le Gosier is a coastal commune and popular tourist resort town on the island of Grande-Terre in Guadeloupe, known for its beaches, marinas, and vibrant nightlife.
-
C.
Vigeois
Vigeois is a commune in the Corrèze department of central France, known for its historic abbey and picturesque rural setting.
-
D.
Guerin
Guerin is a surname of French origin borne by various notable individuals across fields such as arts, sports, and public life.
-
E.
Marignier
Marignier is a commune in the Haute-Savoie department of southeastern France, situated in the French Alps.
- 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_69d8dd05ac4c8190b1967d8f97f3fb2f |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e36b279c819091a8d51f044bc644 |
completed | April 20, 2026, 8:27 a.m. |
Created at: April 10, 2026, 12:04 p.m.