Triple
T19799246
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Le Boulou |
E475625
|
entity |
| Predicate | locatedOn |
P40
|
FINISHED |
| Object | Tech River |
—
|
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: Tech River | Statement: [Le Boulou, locatedOn, Tech River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tech River Context triple: [Le Boulou, locatedOn, Tech River]
-
A.
Tech River
chosen
Tech River is a river in southern France that flows through the Pyrénées-Orientales department before emptying into the Mediterranean Sea.
-
B.
Riverbed
Riverbed is a large-scale immersive installation by artist Olafur Eliasson that transforms a gallery space into a rocky, river-like landscape, inviting viewers to experience a constructed natural environment indoors.
-
C.
Pages River
Pages River is a minor river in New South Wales, Australia, that forms part of the Hunter River catchment.
-
D.
Ai River
The Ai River is a tributary waterway that feeds into the Yalu River along the border region between China and North Korea.
-
E.
Ai River
The Ai River is a tributary waterway that feeds into the larger Ramu River system.
- 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_69d8e51b014081908b263e167370529a |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e653c930a08190a2263db7170edd71 |
completed | April 20, 2026, 4:26 p.m. |
Created at: April 10, 2026, 1:49 p.m.