Triple
T7385544
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Little Sark |
E170369
|
entity |
| Predicate | hasLanguage |
P15
|
FINISHED |
| Object | Sercquiais |
E170371
|
NE 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: Sercquiais | Statement: [Little Sark, hasLanguage, Sercquiais]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sercquiais Context triple: [Little Sark, hasLanguage, Sercquiais]
-
A.
Sercquiais
chosen
Sercquiais is a Norman dialect of the French language traditionally spoken on the Channel Island of Sark.
-
B.
Seudre
Seudre is a coastal river in southwestern France that flows through the historical province of Saintonge before reaching the Atlantic Ocean.
-
C.
Sauldre
Sauldre is a river in central France that flows through the Cher department and is a tributary of the larger Sauldre river system.
-
D.
Bouguenais
Bouguenais is a suburban commune in western France, located near Nantes and known for hosting Nantes Atlantique Airport.
-
E.
Cère
Cère is a river in south-central France that flows through the Cantal department as a tributary of the Dordogne.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69c68a5d0ed08190b6d361e68f813330 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f1f117ec8190a97cbd0b35d5811a |
completed | March 27, 2026, 9:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c810e879e88190a421409194868587 |
completed | March 28, 2026, 5:33 p.m. |
Created at: March 27, 2026, 3:08 p.m.