Triple
T9108162
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Duero |
E218527
|
entity |
| Predicate | tributary |
P415
|
FINISHED |
| Object | Tormes |
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 | Statement: [Duero, tributary, Tormes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tormes Context triple: [Duero, tributary, Tormes]
-
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.
Manzanares
Manzanares is a small Colombian town and municipality located in the mountainous Caldas Department in the Andean region.
-
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.
Talavera River
The Talavera River is a waterway in the Philippines that forms part of the Pampanga River basin in Central Luzon.
-
E.
Alba de Tormes
Alba de Tormes is a historic town in the province of Salamanca, Spain, known for its association with the noble House of Alba and as the burial place of Saint Teresa of Ávila.
- 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_69ca83db7448819090d0a5de842ef2ac |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cca57543448190829853c31e05dd8c |
completed | April 1, 2026, 4:56 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d05449101481908c71475acf59b33c |
completed | April 3, 2026, 11:59 p.m. |
Created at: March 30, 2026, 7:16 p.m.