Triple
T15870407
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gilberto Silva |
E384814
|
entity |
| Predicate | numberOfCaps |
P57796
|
FINISHED |
| Object | Brazil national football team: over 90 |
—
|
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: Brazil national football team: over 90 | Statement: [Gilberto Silva, numberOfCaps, Brazil national football team: over 90]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfCaps Context triple: [Gilberto Silva, numberOfCaps, Brazil national football team: over 90]
-
A.
testCaps
Indicates that an entity is being tested or evaluated for its capacity, capability, or limits in relation to another entity or context.
-
B.
mostCaps
Indicates that the subject entity possesses the greatest number of capital letters (or capitalized elements) compared to a specified set of entities.
-
C.
numberOfCapsules
Indicates the quantity or count of capsules associated with an entity or event.
-
D.
numberOfTestCaps
chosen
Indicates the number of times an individual has appeared in test matches (test caps) for a team or organization.
-
E.
numberOfCounts
Indicates the total quantity or tally of discrete occurrences, items, or instances associated with an entity or event.
- 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_69d86da4e86481909f1325fdc971b5ec |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e174de2cd48190ab18e48c9f051a2a |
completed | April 16, 2026, 11:46 p.m. |
| PD | Predicate disambiguation | batch_69e142b976c081908d3ba3e705419f3a |
completed | April 16, 2026, 8:12 p.m. |
Created at: April 10, 2026, 4:50 a.m.