Triple
T20138937
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Torremolinos |
E491107
|
entity |
| Predicate | distanceFromMálagaCityCentre |
P48752
|
FINISHED |
| Object | about 13 km southwest |
—
|
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 13 km southwest | Statement: [Torremolinos, distanceFromMálagaCityCentre, about 13 km southwest]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromMálagaCityCentre Context triple: [Torremolinos, distanceFromMálagaCityCentre, about 13 km southwest]
-
A.
distanceToMálaga
chosen
Indicates the spatial distance between a given entity and the location of Málaga.
-
B.
distanceFromSeville
Indicates the spatial distance separating an entity from the location of Seville.
-
C.
distanceFromCórdobaCity
Indicates the spatial distance between an entity and the city of Córdoba.
-
D.
distanceToMadrid
Indicates the physical distance between a given location or entity and the city of Madrid.
-
E.
distanceFromMarrakesh
Indicates the spatial distance between a given location and the city of Marrakesh.
- F. None of above.
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_69da62651a0c8190a3e05e95e056a66b |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e667698a188190869c18b925dba2ed |
completed | April 20, 2026, 5:50 p.m. |
| PD | Predicate disambiguation | batch_69e54cfb0d0081908e789b9b57e96668 |
completed | April 19, 2026, 9:45 p.m. |
Created at: April 11, 2026, 11:32 p.m.