Triple
T36518294
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Porto Cristo |
E900106
|
entity |
| Predicate | distanceToPalmaDeMallorca |
P147896
|
FINISHED |
| Object | approximately 60 km east |
—
|
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: approximately 60 km east | Statement: [Porto Cristo, distanceToPalmaDeMallorca, approximately 60 km east]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToPalmaDeMallorca Context triple: [Porto Cristo, distanceToPalmaDeMallorca, approximately 60 km east]
-
A.
distanceTo Palma de Mallorca (approximate km)
chosen
Indicates the approximate distance in kilometers between an entity’s location and Palma de Mallorca.
-
B.
distanceToIbiza
Indicates the spatial distance between a given entity’s location and the location of Ibiza.
-
C.
distanceToMálaga
Indicates the spatial distance between a given entity and the location of Málaga.
-
D.
distanceFromPortDePollenca_km
Indicates the distance, measured in kilometers, between an entity and Port de Pollença.
-
E.
distanceFromMarbella
Indicates the spatial distance between a given entity or location and Marbella.
- 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_69f76e5dada881909da2d34bc7a9202a |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_6a037c8e2c648190a65fc9c7872861af |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a0bf4b88190bdcfae9a14b51f0a |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:11 p.m.