Triple
T15704947
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vendas Novas |
E380682
|
entity |
| Predicate | districtCapitalDistance |
P23192
|
FINISHED |
| Object | approximately 40 km west of Évora |
—
|
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 40 km west of Évora | Statement: [Vendas Novas, districtCapitalDistance, approximately 40 km west of Évora]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: districtCapitalDistance Context triple: [Vendas Novas, districtCapitalDistance, approximately 40 km west of Évora]
-
A.
districtHeadquartersDistance
chosen
Indicates the distance between a place and its corresponding district headquarters.
-
B.
hasCountyCapitalDistance
Indicates a distance relationship specifying how far a county is from its capital.
-
C.
distanceFromCapital
Indicates the measured distance between a given location and the capital city of its corresponding region or country.
-
D.
regionCapitalDistanceRelation
Indicates a relationship specifying the distance between a region and its capital.
-
E.
distanceToProvinceCapital_km
Indicates the distance, measured in kilometers, between a given location and the capital city of its province.
- 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_69d86d9bf930819082b30cf6d169297c |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e0b4d6b5788190883746ee82c799f5 |
completed | April 16, 2026, 10:07 a.m. |
| PD | Predicate disambiguation | batch_69e0051d639481909a10614e8f83e659 |
completed | April 15, 2026, 9:37 p.m. |
Created at: April 10, 2026, 4:45 a.m.