Triple
T3280161
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sixt-Fer-à-Cheval |
E68852
|
entity |
| Predicate | watercourse |
P415
|
FINISHED |
| Object | Giffre River |
E304014
|
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: Giffre River | Statement: [Sixt-Fer-à-Cheval, watercourse, Giffre River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Giffre River Context triple: [Sixt-Fer-à-Cheval, watercourse, Giffre River]
-
A.
Giffre River
chosen
The Giffre River is a mountain river in the French Alps that flows through the Haute-Savoie region before joining the Arve.
-
B.
Vidourle River
The Vidourle River is a watercourse in southern France that flows through the Occitanie region before emptying into the Mediterranean Sea.
-
C.
Cidacos River
The Cidacos River is a Spanish river in the Ebro basin that flows through La Rioja and Navarre, known for irrigating agricultural lands and passing near several historic towns.
-
D.
Tormes River
The Tormes River is a significant river in western Spain that flows through cities like Salamanca before joining the Douro River.
-
E.
Alberche River
The Alberche River is a significant river in central Spain that flows through the provinces of Ávila, Madrid, and Toledo before joining the Tagus.
- 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_69ad859c463481909ca4be267336c290 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb0166c8c81909cb0a580ef319be3 |
completed | March 8, 2026, 5:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b2e851d2bc8190ba887cd1c81c880d |
completed | March 12, 2026, 4:22 p.m. |
Created at: March 8, 2026, 3:10 p.m.