Triple
T35233449
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sousa |
E1017304
|
entity |
| Predicate | frequencyRankInPortugal |
P133169
|
FINISHED |
| Object | among most common surnames in Portugal |
—
|
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: among most common surnames in Portugal | Statement: [Sousa, frequencyRankInPortugal, among most common surnames in Portugal]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: frequencyRankInPortugal Context triple: [Sousa, frequencyRankInPortugal, among most common surnames in Portugal]
-
A.
populationRankInPortugal
Indicates the relative position of an entity in terms of population size compared to other entities within Portugal.
-
B.
rankInPortugal
chosen
Indicates the position or standing that something holds within a ranking specific to Portugal.
-
C.
portugalScore
Indicates that a scoring event or point total is attributed to Portugal in a given context (such as a match, game, or competition).
-
D.
chartPositionPortugal
Indicates the chart ranking or position that something (typically a song, album, or similar item) achieved specifically in Portugal.
-
E.
roleInPortugal
Indicates that an entity holds or has held a specific role, position, or function within the context of Portugal.
- 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_69f76de12e4c8190bc46b71a32858356 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f78f63c8788190b253a18de5ca1312 |
completed | May 3, 2026, 6:09 p.m. |
| PD | Predicate disambiguation | batch_69f78e2d71248190b850c2802ec170c0 |
completed | May 3, 2026, 6:04 p.m. |
Created at: May 3, 2026, 4:02 p.m.