Triple
T28403234
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cape Finisterre |
E719446
|
entity |
| Predicate | distanceFromSantiagoDeCompostela |
P18761
|
FINISHED |
| Object | approximately 90 km west |
—
|
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 90 km west | Statement: [Cape Finisterre, distanceFromSantiagoDeCompostela, approximately 90 km west]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromSantiagoDeCompostela Context triple: [Cape Finisterre, distanceFromSantiagoDeCompostela, approximately 90 km west]
-
A.
distanceToSantiago_km
Indicates the physical distance, measured in kilometers, between a given location and Santiago.
-
B.
distanceFromSantiago
chosen
Indicates the spatial distance between a given entity and the location of Santiago.
-
C.
distanceToMadrid
Indicates the physical distance between a given location or entity and the city of Madrid.
-
D.
distanceFromLisbon
Indicates the measured spatial distance between a given entity’s location and the city of Lisbon.
-
E.
distanceFromCórdobaCity
Indicates the spatial distance between an entity and the city of Córdoba.
- 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_69eff6efd1b08190ae3cefd4f11388a2 |
completed | April 27, 2026, 11:53 p.m. |
| NER | Named-entity recognition | batch_69ffff262fac8190a26ed0577e1860bd |
completed | May 10, 2026, 3:44 a.m. |
| PD | Predicate disambiguation | batch_69fffcad7d7c8190a4ad7bb35e33bb75 |
completed | May 10, 2026, 3:34 a.m. |
Created at: April 28, 2026, 1:21 a.m.