Triple
T20002291
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carcavelos |
E494362
|
entity |
| Predicate | distanceToCascaisApproxKm |
P138302
|
FINISHED |
| Object | 10 |
—
|
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: 10 | Statement: [Carcavelos, distanceToCascaisApproxKm, 10]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToCascaisApproxKm Context triple: [Carcavelos, distanceToCascaisApproxKm, 10]
-
A.
distanceFromLisbon
Indicates the measured spatial distance between a given entity’s location and the city of Lisbon.
-
B.
distanceFromPorto
Indicates the measured distance between a given place or entity and the city of Porto.
-
C.
distanceFromSantarém
Indicates the measured distance between a given entity or location and the city of Santarém.
-
D.
distanceToCoimbra
Indicates the spatial distance between a given entity and the location of Coimbra.
-
E.
distanceToLeiria
Indicates the spatial distance between a given entity and the location of Leiria.
- 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_69da626b2d748190886981ea90c8b2ea |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e661a2e34481908a495cc5d077c41f |
completed | April 20, 2026, 5:25 p.m. |
| PD | Predicate disambiguation | batch_69e54cdddbd48190becc8b2aa5ab4ef9 |
completed | April 19, 2026, 9:45 p.m. |
| PDg | Predicate description generation | batch_69e54fc20888819083c9118a09d0d2dc |
completed | April 19, 2026, 9:57 p.m. |
Created at: April 11, 2026, 3:33 p.m.