Triple
T14556105
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vilaine |
E341545
|
entity |
| Predicate | tributary |
P415
|
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: [Vilaine, tributary, Ille]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ille Context triple: [Vilaine, tributary, 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.
Île du Lys
Île du Lys is a small, uninhabited coral island in the Indian Ocean that forms part of the French-administered Scattered Islands territory.
-
E.
Lemnia
Lemnia is an ancient Greek wine from the island of Lemnos, historically renowned for its distinctive quality and frequent mention in classical literature.
- 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_69d822db9c8481908213ceb39585f792 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb2f1490881908673f429e5288c86 |
completed | April 14, 2026, 9:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd8abde0308190819da6867e703ea7 |
completed | May 8, 2026, 7:03 a.m. |
Created at: April 10, 2026, 1:23 a.m.