Triple
T25319152
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cávado |
E634830
|
entity |
| Predicate | bordersSubregion |
P160916
|
FINISHED |
| Object | Alto Cávado e Tâmega |
—
|
NE NERFINISHED |
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: Alto Cávado e Tâmega | Statement: [Cávado, bordersSubregion, Alto Cávado e Tâmega]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bordersSubregion Context triple: [Cávado, bordersSubregion, Alto Cávado e Tâmega]
-
A.
bordersSubregion
chosen
Indicates that one region shares a boundary with a smaller, contained subregion.
-
B.
borderingCountryOfRegion
Indicates that a country shares a land or maritime border with a specified geographic region.
-
C.
bordersNation
Indicates that one nation shares a land or maritime boundary with another nation.
-
D.
provinceBordering
Indicates that two provinces share a common boundary or border with each other.
-
E.
bordersVia
Indicates that two entities share a boundary or border that is specifically established, defined, or mediated through a particular intermediate feature, route, or medium.
- 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_69e75a9847c08190bb02990d06d5ffb7 |
completed | April 21, 2026, 11:08 a.m. |
| NER | Named-entity recognition | batch_69f621fcea1481909b6f8b3af1ee6820 |
completed | May 2, 2026, 4:10 p.m. |
| PD | Predicate disambiguation | batch_69f620dc38088190b56b2b15ed75b3c2 |
completed | May 2, 2026, 4:05 p.m. |
Created at: April 21, 2026, 1:28 p.m.