Triple
T6839749
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ille-et-Vilaine |
E157540
|
entity |
| Predicate | containsRiver |
P165
|
FINISHED |
| Object | Ille |
E341546
|
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: Ille | Statement: [Ille-et-Vilaine, containsRiver, Ille]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ille Context triple: [Ille-et-Vilaine, containsRiver, Ille]
-
A.
Ille
chosen
Ille is a small river in northwestern France that flows through the city of Rennes and joins the Vilaine River.
-
B.
Libatique
Libatique is the surname of Matthew Libatique, an acclaimed American cinematographer known for his work on films such as "Black Swan" and "Requiem for a Dream."
-
C.
Landes
Landes is a department in southwestern France known for its vast Atlantic coastline, extensive pine forests, and popular surfing beaches.
-
D.
Écône
Écône is a small village in the Swiss canton of Valais best known as the headquarters and principal seminary site of the traditionalist Catholic Society of Saint Pius X.
-
E.
Baltus
Baltus is a fictional character best known as the wealthy farmer and father of Katrina Van Tassel in Washington Irving’s short story “The Legend of Sleepy Hollow.”
- 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_69c6882c53608190b99aebef079b23bd |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d6b2ee248190991c3e827be75bb7 |
completed | March 27, 2026, 7:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c74271b9dc8190abbe3b1f9819c38f |
completed | March 28, 2026, 2:52 a.m. |
Created at: March 27, 2026, 2:19 p.m.