Triple
T10070371
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Genil River |
E213605
|
entity |
| Predicate | flowsThroughCity |
P10456
|
FINISHED |
| Object | Écija |
E523831
|
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: Écija | Statement: [Genil River, flowsThroughCity, Écija]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Écija Context triple: [Genil River, flowsThroughCity, Écija]
-
A.
Écija
chosen
Écija is a historic Andalusian city in southern Spain, renowned for its baroque architecture and extremely hot summer climate that has earned it the nickname "the frying pan of Andalusia."
-
B.
Jaén
Jaén is a province in southern Spain’s Andalusia region, renowned for its vast olive groves and historic Renaissance towns.
-
C.
Jaén
Jaén is a significant commercial and agricultural city in northern Peru, known as a regional hub within the Cajamarca Region.
-
D.
Almería
Almería is a coastal city and province in southeastern Spain known for its arid climate, historic Alcazaba fortress, and extensive greenhouse agriculture.
-
E.
Alcalá de Guadaíra
Alcalá de Guadaíra is a town in the province of Seville in southern Spain, known for its historic mills along the Guadaíra River and its proximity to the city of Seville.
- 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_69ca839add308190b57d53b4ec21f2d0 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cdcffa045c8190a08db0bb74cb006a |
completed | April 2, 2026, 2:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d89f0c0c588190870b2145be187908 |
completed | April 10, 2026, 6:56 a.m. |
Created at: March 30, 2026, 8:58 p.m.