Triple
T33348403
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Steve Thompson |
E853862
|
entity |
| Predicate | hasInternationalCapsIn |
P10860
|
FINISHED |
| Object | rugby union |
—
|
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: rugby union | Statement: [Steve Thompson, hasInternationalCapsIn, rugby union]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasInternationalCapsIn Context triple: [Steve Thompson, hasInternationalCapsIn, rugby union]
-
A.
hasInternationalCapsFor
chosen
Indicates that an individual has made official appearances (caps) for a specified national team in international competition.
-
B.
hasInternationalField
Indicates that an entity includes or is associated with a field, attribute, or component that pertains to international or cross-border aspects.
-
C.
hasInternationalStatus
Indicates that an entity holds a recognized status, role, or standing at the international level rather than being limited to a single country or local jurisdiction.
-
D.
hasInternationalTeam
Indicates that an entity is associated with or possesses a team that operates or competes at the international level.
-
E.
hasInternationalPort
Indicates that an entity possesses a port facility that supports international transportation or trade connections.
- 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_69f3496a1a588190bad9cbe9221144e0 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69ffe12ee59c8190bc7da386e6d5332d |
completed | May 10, 2026, 1:36 a.m. |
| PD | Predicate disambiguation | batch_69ffe0a138bc8190a3d4b48cd579e985 |
completed | May 10, 2026, 1:34 a.m. |
Created at: May 1, 2026, 1:34 a.m.