Triple
T29290281
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FIFA Quality Pro |
E742640
|
entity |
| Predicate | hasLabelOn |
P77334
|
FINISHED |
| Object | certified footballs |
—
|
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: certified footballs | Statement: [FIFA Quality Pro, hasLabelOn, certified footballs]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLabelOn Context triple: [FIFA Quality Pro, hasLabelOn, certified footballs]
-
A.
hasLabel
Indicates that an entity is associated with a specific textual label or name used to identify or describe it.
-
B.
isLabeledOn
chosen
Indicates that a label, tag, or identifying text is physically or virtually attached to or displayed on an entity.
-
C.
hasWHOLabel
Indicates that an entity is associated with a specific World Health Organization (WHO) label or classification.
-
D.
hasLabelSet
Indicates that an entity is associated with a specific collection or set of labels.
-
E.
hasEponymousLabel
Indicates that something is named after a particular person, place, or entity, serving as its eponym.
- 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_69f0912323c48190b9a24ef8cf359225 |
completed | April 28, 2026, 10:51 a.m. |
| NER | Named-entity recognition | batch_69fd44474ed48190ac372e4c88d762ed |
completed | May 8, 2026, 2:02 a.m. |
| PD | Predicate disambiguation | batch_69fd41ef28a48190a66959be5c964461 |
completed | May 8, 2026, 1:52 a.m. |
Created at: April 28, 2026, 1:01 p.m.