Triple
T17717868
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nete |
E442252
|
entity |
| Predicate | mouthLocatedIn |
P417
|
FINISHED |
| Object | Rupel |
—
|
NE NERFINISHED |
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: Rupel | Statement: [Nete, mouthLocatedIn, Rupel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rupel Context triple: [Nete, mouthLocatedIn, Rupel]
-
A.
Rupel
chosen
The Rupel is a short river in northern Belgium that flows through the province of Antwerp and joins the Scheldt near the town of Rupelmonde.
-
B.
Oldetrijne
Oldetrijne is a small village in the municipality of Weststellingwerf in the Dutch province of Friesland.
-
C.
Dieuze
Dieuze is a small commune in northeastern France, located in the Moselle department in the historical region of Lorraine.
-
D.
River Dender
The River Dender is a waterway in Belgium that flows through Wallonia and Flanders before joining the Scheldt, historically shaping the towns and regions along its course.
-
E.
River Zenne
The River Zenne is a small Belgian river that flows through Brussels and surrounding towns, historically shaping the region’s development and urban landscape.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b9ec79688190b86bdcef85a7b3aa |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e474834aec81909ab7e8224c5a39d7 |
completed | April 19, 2026, 6:21 a.m. |
Created at: April 10, 2026, 10:06 a.m.