Triple
T18940735
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Toltén River |
E463372
|
entity |
| Predicate | hasMouthNear |
P350
|
FINISHED |
| Object | Queule |
—
|
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: Queule | Statement: [Toltén River, hasMouthNear, Queule]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Queule Context triple: [Toltén River, hasMouthNear, Queule]
-
A.
Queule
chosen
Queule is a small coastal town in southern Chile known for its fishing community and scenic Pacific shoreline.
-
B.
Cheux
Cheux is a small commune in the Calvados department of the Normandy region in northwestern France.
-
C.
Queich
The Queich is a river in southwestern Germany that flows from the Palatinate Forest through the Palatinate region before joining the Rhine.
-
D.
La Quar
La Quar is a small rural municipality in the Berguedà comarca of Catalonia, Spain, known for its mountainous landscape and traditional Catalan character.
-
E.
Teigne
Teigne is the traditional title held by the monarch of the Serer kingdom of Baol in what is now Senegal.
- 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_69d8dcfec90481909e926be9767e5779 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d3eba60081909c9027d1988f88ad |
completed | April 20, 2026, 7:21 a.m. |
Created at: April 10, 2026, 11:59 a.m.