Triple
T35980741
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cerros de Mavecure |
E1040554
|
entity |
| Predicate | distanceFromInírida |
P207122
|
FINISHED |
| Object | approximately 50 kilometres |
—
|
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 50 kilometres | Statement: [Cerros de Mavecure, distanceFromInírida, approximately 50 kilometres]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromInírida Context triple: [Cerros de Mavecure, distanceFromInírida, approximately 50 kilometres]
-
A.
distanceToSãoMiguel
Indicates the spatial distance between an entity and the location São Miguel.
-
B.
distanceFromSantoDomingo
Indicates the spatial distance between a given entity and the location of Santo Domingo.
-
C.
distanceToMindelo
Indicates the spatial distance between a given entity or location and Mindelo.
-
D.
distanceFromVascoDaGama
Indicates the measured spatial distance between a given entity and Vasco da Gama.
-
E.
distanceToPraia
Indicates the measured distance between an entity and the location Praia.
- 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_69f76e28293c8190ae3f4e2208b87117 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_6a037c92f03c8190ae2751270b195423 |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a0895b48190acdd88dc10db7be7 |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c82179081908325a59b8539b3a8 |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 3, 2026, 4:07 p.m.