Triple
T19706783
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oxford college boat clubs |
E473235
|
entity |
| Predicate | mainEvent |
P1664
|
FINISHED |
| Object | Torpids |
—
|
NE NERFINISHED |
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: Torpids | Statement: [Oxford college boat clubs, mainEvent, Torpids]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Torpids Context triple: [Oxford college boat clubs, mainEvent, Torpids]
-
A.
Torpids
chosen
Torpids is an annual bumps rowing competition held on the River Thames in Oxford, featuring college crews from the University of Oxford.
-
B.
Torp
Torp is a Norwegian surname most notably associated with architect Niels Torp and several other prominent Norwegian families.
-
C.
Tug
Tug is the nickname of Tug McGraw, a celebrated Major League Baseball relief pitcher known for his time with the New York Mets and Philadelphia Phillies.
-
D.
Tankerness
Tankerness is a rural settlement on the Orkney Islands of Scotland, known for its agricultural landscape and archaeological sites.
-
E.
Skudai
Skudai is a rapidly developing suburban town in the Malaysian state of Johor, known for housing Universiti Teknologi Malaysia and serving as part of the greater Johor Bahru metropolitan area.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e516dd048190a0b6c93ea3e71f58 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e642bb5cd4819090e4c62bd74c4324 |
completed | April 20, 2026, 3:14 p.m. |
Created at: April 10, 2026, 1:46 p.m.