Triple
T29293897
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vélez-Málaga |
E742764
|
entity |
| Predicate | positionRelativeToMálaga |
P194355
|
FINISHED |
| Object | east of Málaga 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: east of Málaga city | Statement: [Vélez-Málaga, positionRelativeToMálaga, east of Málaga city]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: positionRelativeToMálaga Context triple: [Vélez-Málaga, positionRelativeToMálaga, east of Málaga city]
-
A.
distanceToMálaga
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.
directionFromMadrid
Indicates the cardinal or relative compass direction of an entity’s location as measured outward from Madrid.
- 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_69f0912323c48190b9a24ef8cf359225 |
completed | April 28, 2026, 10:51 a.m. |
| NER | Named-entity recognition | batch_69fd6dbd1b648190b1a0b391c03aebc5 |
completed | May 8, 2026, 4:59 a.m. |
| PD | Predicate disambiguation | batch_69fd6a9020548190bbfa845360ac85fb |
completed | May 8, 2026, 4:46 a.m. |
| PDg | Predicate description generation | batch_69fd6dbc3ac0819093fbcfe95f12b93d |
completed | May 8, 2026, 4:59 a.m. |
Created at: April 28, 2026, 1:04 p.m.