Triple
T17074037
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baeza |
E414300
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Úbeda |
E943162
|
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: Úbeda | Statement: [Baeza, locatedNear, Úbeda]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Úbeda Context triple: [Baeza, locatedNear, Úbeda]
-
A.
Úbeda
chosen
Úbeda is a historic city in southern Spain renowned for its well-preserved Renaissance architecture and status as a UNESCO World Heritage Site.
-
B.
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.
-
C.
Utrera
Utrera is a historic town in southern Spain’s Andalusia region, known for its rich flamenco heritage, traditional bullfighting culture, and well-preserved architecture.
-
D.
Jaén
Jaén is a province in southern Spain’s Andalusia region, renowned for its vast olive groves and historic Renaissance towns.
-
E.
Jaén
Jaén is a significant commercial and agricultural city in northern Peru, known as a regional hub within the Cajamarca Region.
- 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_69d886cef44c8190ba56c44b4e863e64 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3dbc3b69c819093b32da3998eed46 |
completed | April 18, 2026, 7:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01673ff7ec8190add7af932c38deef |
completed | May 11, 2026, 5:21 a.m. |
Created at: April 10, 2026, 5:34 a.m.