Triple
T4986200
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rice Owls women's basketball team |
E112008
|
entity |
| Predicate | teamName |
P7598
|
FINISHED |
| Object | Rice Owls |
E3311
|
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: Rice Owls | Statement: [Rice Owls women's basketball team, teamName, Rice Owls]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rice Owls Context triple: [Rice Owls women's basketball team, teamName, Rice Owls]
-
A.
Rice Owls
chosen
The Rice Owls are the athletic teams representing Rice University in NCAA Division I sports.
-
B.
Toyama Grouses
Toyama Grouses is a professional basketball team based in Toyama, Japan, competing in the country’s top-tier leagues.
-
C.
Oryzoborus crassirostris
Oryzoborus crassirostris is a species of robust, seed-eating tanager known for its thick bill and association with Neotropical habitats.
-
D.
Tsubame
Tsubame is a Japanese Shinkansen train service that operates on the Kyushu Shinkansen line in southern Japan.
-
E.
Tsuru
Tsuru is a small city in Yamanashi Prefecture, Japan, known for its scenic setting near Mount Fuji and its educational institutions.
- 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_69bd441be7bc8190b530362d427b97d2 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd727c25bc8190b72f6ddd3772c80a |
completed | March 20, 2026, 4:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be8a1ca3ec81908ad750cd9e899bcc |
completed | March 21, 2026, 12:07 p.m. |
Created at: March 20, 2026, 1:33 p.m.