Triple
T9081583
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ilhas Selvagens |
E217638
|
entity |
| Predicate | distanceToCanaryIslands |
P87096
|
FINISHED |
| Object | approximately 165 km north of Canary Islands |
—
|
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 165 km north of Canary Islands | Statement: [Ilhas Selvagens, distanceToCanaryIslands, approximately 165 km north of Canary Islands]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToCanaryIslands Context triple: [Ilhas Selvagens, distanceToCanaryIslands, approximately 165 km north of Canary Islands]
-
A.
distanceFromMadeiraIsland
Indicates the spatial distance between an entity and Madeira Island.
-
B.
distanceToLanzarote
Indicates the spatial distance between a given entity’s location and the location of Lanzarote.
-
C.
distanceFromSantaCruzDeTenerifeKm
Indicates the distance, measured in kilometers, between an entity and Santa Cruz de Tenerife.
-
D.
distanceToIbiza
Indicates the spatial distance between a given entity’s location and the location of Ibiza.
-
E.
distanceToHavana
Indicates the measured spatial distance between a given entity’s location and the city of Havana.
- 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_69ca83d7a0388190ba1af89ed7ba36f9 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc9608a82481908918821884ba5796 |
completed | April 1, 2026, 3:50 a.m. |
| PD | Predicate disambiguation | batch_69cc65fa79bc81908b46f05c8bba920f |
completed | April 1, 2026, 12:25 a.m. |
| PDg | Predicate description generation | batch_69cc6a3c78388190a7436acc0e44ff55 |
completed | April 1, 2026, 12:43 a.m. |
Created at: March 30, 2026, 7:13 p.m.