Triple
T10133380
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ourthe Orientale |
E226794
|
entity |
| Predicate | tributaryOf |
P415
|
FINISHED |
| Object | Ourthe |
E118855
|
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: Ourthe | Statement: [Ourthe Orientale, tributaryOf, Ourthe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ourthe Context triple: [Ourthe Orientale, tributaryOf, Ourthe]
-
A.
Ourthe
chosen
The Ourthe is a scenic river in southeastern Belgium that flows through the Ardennes region, known for its winding valleys, outdoor recreation, and picturesque towns.
-
B.
Theur
Theur is a village near Pune in Maharashtra, India, known for its historic temples and association with the Peshwa-era Maratha nobility.
-
C.
Nous
Nous is the ancient Greek philosophical concept of intellect or divine mind, often understood as the rational, ordering principle of the cosmos.
-
D.
Tous
Tous is a Spanish jewelry and accessories brand known for its distinctive teddy bear logo and affordable luxury designs.
-
E.
Koho
Koho is an Austroasiatic language spoken by the Koho ethnic group in Vietnam’s Central Highlands.
- 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_69ca8433ec308190b8b25a6fe359c34c |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cdd33808048190b6023a6cd83fc179 |
completed | April 2, 2026, 2:23 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2e5d98a148190ada7082adb98ddaa |
completed | April 5, 2026, 10:44 p.m. |
Created at: March 30, 2026, 9:06 p.m.