Triple
T4439279
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Príncipe |
E95728
|
entity |
| Predicate | distanceToSãoTomé |
P56027
|
FINISHED |
| Object | about 140 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 140 kilometres northeast | Statement: [Príncipe, distanceToSãoTomé, about 140 kilometres northeast]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToSãoTomé Context triple: [Príncipe, distanceToSãoTomé, about 140 kilometres northeast]
-
A.
distanceToSãoMiguel
Indicates the spatial distance between an entity and the location São Miguel.
-
B.
distanceToSaintHelena
Indicates the measured distance between a given entity and the location of Saint Helena.
-
C.
distanceFromPortOfSpain
Indicates the measured distance between a given location and the city of Port of Spain.
-
D.
distanceToPort-au-Prince
Indicates the spatial distance between a given location and the city of Port-au-Prince.
-
E.
demarcationLineDistanceFromAzoresOrCapeVerde
Indicates the measured distance between a specified demarcation line and the reference locations of either the Azores or Cape Verde.
- 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_69b3453ea2b48190a26f154b3b8fece5 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b355aaa9288190b95d875d343d6ee5 |
completed | March 13, 2026, 12:09 a.m. |
| PD | Predicate disambiguation | batch_69b34f6078cc8190831b89f404198cc5 |
completed | March 12, 2026, 11:42 p.m. |
| PDg | Predicate description generation | batch_69b3505a87b4819083fbbd58870e520b |
completed | March 12, 2026, 11:46 p.m. |
Created at: March 12, 2026, 11:31 p.m.