Triple
T17400036
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Caves |
E423060
|
entity |
| Predicate | distanceToMountEtnaCavesNationalPark |
P127336
|
FINISHED |
| Object | approximately 5 kilometres north |
—
|
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 5 kilometres north | Statement: [The Caves, distanceToMountEtnaCavesNationalPark, approximately 5 kilometres north]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToMountEtnaCavesNationalPark Context triple: [The Caves, distanceToMountEtnaCavesNationalPark, approximately 5 kilometres north]
-
A.
distanceFromVesuvius
Indicates the spatial distance between an entity and Mount Vesuvius.
-
B.
distanceFromPompeii
Indicates the spatial distance between a given entity and the location of Pompeii.
-
C.
distanceFromSicily
Indicates the spatial distance between a given entity and the region of Sicily.
-
D.
distanceFromNaples
Indicates the spatial distance between a given entity and the city of Naples.
-
E.
distanceFromIschia
Indicates the spatial distance between a given entity and the location Ischia.
- 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_69d889d710288190bf0f4762801fefae |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43ac0596481908c400916d5c1b971 |
completed | April 19, 2026, 2:15 a.m. |
| PD | Predicate disambiguation | batch_69e3b02e6cc88190986e85e64ce9383e |
completed | April 18, 2026, 4:24 p.m. |
| PDg | Predicate description generation | batch_69e3b2a33e8481908fa6ef45290d08aa |
completed | April 18, 2026, 4:34 p.m. |
Created at: April 10, 2026, 5:45 a.m.