Triple
T9356176
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United States national figure skating team |
E225145
|
entity |
| Predicate | hasCategory |
P87
|
FINISHED |
| Object | Team C |
E793466
|
NE 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: Team C | Statement: [United States national figure skating team, hasCategory, Team C]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Team C Context triple: [United States national figure skating team, hasCategory, Team C]
-
A.
Team B
chosen
Team B is the United States’ secondary national figure skating squad, featuring athletes who compete internationally just below the top-tier team.
-
B.
Team 4
Team 4 is an architectural group best known for its influential early work in high-tech architecture, whose members included Su Rogers and other future leaders of the field.
-
C.
Team 4
Team 4 is a company co-founded by British entrepreneur and peer Baron Rogers of Riverside, known for his role in pioneering private equity and venture investment.
-
D.
The Team
The Team is the English translation of "Die Mannschaft," the widely used nickname for the German national football team.
-
E.
Teams
Teams is Microsoft's cloud-based collaboration and communication platform that integrates chat, video meetings, file sharing, and app integrations for organizations.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ca842abfd48190949d71c3b86eeba8 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd4fee9d4c8190a7d121c9487ccca2 |
completed | April 1, 2026, 5:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0f3d248a88190b7d17af66e2903c5 |
completed | April 4, 2026, 11:19 a.m. |
Created at: March 30, 2026, 7:42 p.m.