Triple
T31624281
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roquetas de Mar |
E806978
|
entity |
| Predicate | distanceFromAlmería |
P203774
|
FINISHED |
| Object | about 20 km southwest of Almería city |
—
|
LITERAL 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: about 20 km southwest of Almería city | Statement: [Roquetas de Mar, distanceFromAlmería, about 20 km southwest of Almería city]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromAlmería Context triple: [Roquetas de Mar, distanceFromAlmería, about 20 km southwest of Almería city]
-
A.
distanceFromSeville
Indicates the spatial distance separating an entity from the location of Seville.
-
B.
distanceFromCórdobaCity
Indicates the spatial distance between an entity and the city of Córdoba.
-
C.
distanceToMálaga
Indicates the spatial distance between a given entity and the location of Málaga.
-
D.
distanceToGranada
Indicates the spatial distance between a given entity or location and the city of Granada.
-
E.
distanceToJerezDeLaFrontera
Indicates the measured distance between a given entity’s location and the city of Jerez de la Frontera.
- F. None of above. chosen
Provenance (4 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_69f348d7883c8190b6c13ab92b7ef076 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_6a01f4d954e08190aff3756955212d67 |
completed | May 11, 2026, 3:25 p.m. |
| PD | Predicate disambiguation | batch_6a01edadb9248190be592287530740a5 |
completed | May 11, 2026, 2:54 p.m. |
| PDg | Predicate description generation | batch_6a01f4d84fa08190be6dea78f3fa9d8c |
completed | May 11, 2026, 3:25 p.m. |
Created at: April 30, 2026, 10:42 p.m.