Triple
T16341358
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Guadalimar River |
E396811
|
entity |
| Predicate | hasNameInLanguage |
P15
|
FINISHED |
| Object | es:Guadalimar |
E926938
|
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: es:Guadalimar | Statement: [Guadalimar River, hasNameInLanguage, es:Guadalimar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: es:Guadalimar Context triple: [Guadalimar River, hasNameInLanguage, es:Guadalimar]
-
A.
Guadalimar
chosen
Guadalimar is a river in southern Spain that flows through the Province of Jaén as a tributary of the Guadalquivir.
-
B.
Alamata
Alamata is a town in northern Ethiopia that serves as a local commercial and administrative center in the southern part of the Tigray Region.
-
C.
Mataro
Mataro is an alternative name for Mourvèdre, a dark-skinned wine grape variety known for producing robust, tannic red wines often used in Mediterranean and Rhône-style blends.
-
D.
Malecón
Malecón is a famous seaside promenade and seawall in Havana, Cuba, known for its ocean views, social life, and historic architecture.
-
E.
Malecón
Malecón is a famous seaside promenade in Puerto Vallarta known for its ocean views, public art, and vibrant social atmosphere.
- 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_69d87f26864c819088365ca381a003c2 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e2da0ad510819082e440f5e2bceada |
completed | April 18, 2026, 1:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00261cf0648190b4dd5ff79de7e315 |
completed | May 10, 2026, 6:30 a.m. |
Created at: April 10, 2026, 5:07 a.m.