Triple
T9299684
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Douro basin |
E223726
|
entity |
| Predicate | hasTributaryRiver |
P415
|
FINISHED |
| Object | Tormes River |
E244677
|
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: Tormes River | Statement: [Douro basin, hasTributaryRiver, Tormes River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tormes River Context triple: [Douro basin, hasTributaryRiver, Tormes River]
-
A.
Tormes River
chosen
The Tormes River is a significant river in western Spain that flows through cities like Salamanca before joining the Douro River.
-
B.
Talavera River
The Talavera River is a waterway in the Philippines that forms part of the Pampanga River basin in Central Luzon.
-
C.
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.
-
D.
Pisuerga River
The Pisuerga River is a major river in northwestern Spain that flows through the city of Valladolid and is an important tributary of the Duero River.
-
E.
Arazas River
The Arazas River is a mountain river in the Spanish Pyrenees that flows through the dramatic Ordesa Valley, forming waterfalls and gorges within Ordesa y Monte Perdido National Park.
- 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_69ca8423edb08190bc0c91287a484768 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd08d070c881908bed41aada6f85ae |
completed | April 1, 2026, noon |
| NED1 | Entity disambiguation (via context triple) | batch_69d190bef8548190a058e6014ff6690c |
completed | April 4, 2026, 10:29 p.m. |
Created at: March 30, 2026, 7:36 p.m.