Triple
T8856340
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roque del Este |
E210765
|
entity |
| Predicate | distanceToLanzarote |
P85005
|
FINISHED |
| Object | about 12 kilometres northeast |
—
|
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: about 12 kilometres northeast | Statement: [Roque del Este, distanceToLanzarote, about 12 kilometres northeast]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToLanzarote Context triple: [Roque del Este, distanceToLanzarote, about 12 kilometres northeast]
-
A.
distanceFromSantaCruzDeTenerifeKm
Indicates the distance, measured in kilometers, between an entity and Santa Cruz de Tenerife.
-
B.
distanceFromMadeiraIsland
Indicates the spatial distance between an entity and Madeira Island.
-
C.
distanceToMálaga
Indicates the spatial distance between a given entity and the location of Málaga.
-
D.
distanceToIbiza
Indicates the spatial distance between a given entity’s location and the location of Ibiza.
-
E.
distanceFromLisbon
Indicates the measured spatial distance between a given entity’s location and the city of Lisbon.
- 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_69ca838a424c8190b1ecac115c2927e7 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc60e259248190abd334bbfcdcb955 |
completed | April 1, 2026, 12:03 a.m. |
| PD | Predicate disambiguation | batch_69cc5c279ea481908c71756f694b66bf |
completed | March 31, 2026, 11:43 p.m. |
| PDg | Predicate description generation | batch_69cc5cffe8ec819084c12770fe0578f2 |
completed | March 31, 2026, 11:47 p.m. |
Created at: March 30, 2026, 6:50 p.m.