Triple
T25940528
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Málaga–Costa del Sol Airport |
E653683
|
entity |
| Predicate | distance from Málaga city centre (kilometers) |
P48752
|
FINISHED |
| Object | 8 |
—
|
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: 8 | Statement: [Málaga–Costa del Sol Airport, distance from Málaga city centre (kilometers), 8]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distance from Málaga city centre (kilometers) Context triple: [Málaga–Costa del Sol Airport, distance from Málaga city centre (kilometers), 8]
-
A.
distanceToMálaga
chosen
Indicates the spatial distance between a given entity and the location of Málaga.
-
B.
distanceTo Palma de Mallorca (approximate km)
Indicates the approximate distance in kilometers between an entity’s location and Palma de Mallorca.
-
C.
distanceFromSeville
Indicates the spatial distance separating an entity from the location of Seville.
-
D.
distanceFromCórdobaCity
Indicates the spatial distance between an entity and the city of Córdoba.
-
E.
distanceToMadrid
Indicates the physical distance between a given location or entity and the city of Madrid.
- 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_69e7ab3fd2f881908837305e4ba98011 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69fcf825ca7081909d06b0df33eb33f9 |
completed | May 7, 2026, 8:37 p.m. |
| PD | Predicate disambiguation | batch_69fcf42160f0819096812a8bf590875e |
completed | May 7, 2026, 8:20 p.m. |
Created at: April 22, 2026, 8:40 a.m.