Triple
T14405275
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2008 Pac-10 Conference football season |
E357179
|
entity |
| Predicate | bowlBerthsDeterminedBy |
P114124
|
FINISHED |
| Object | regular season conference standings |
—
|
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: regular season conference standings | Statement: [2008 Pac-10 Conference football season, bowlBerthsDeterminedBy, regular season conference standings]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bowlBerthsDeterminedBy Context triple: [2008 Pac-10 Conference football season, bowlBerthsDeterminedBy, regular season conference standings]
-
A.
determinedBerthIn
Indicates that an entity has been assigned or allocated to a specific berth or docking position.
-
B.
numberOfBerths
Indicates the quantity of berths (sleeping places or docking spaces) associated with an entity.
-
C.
wildCardBerthsCount
Indicates the number of wildcard berths (extra or non-standard qualification spots) allocated in a competition or selection process.
-
D.
hasBerths
Indicates that one entity provides or contains sleeping or docking berths for another entity.
-
E.
hasSleeperBerths
Indicates that an object (typically a vehicle) is equipped with one or more sleeper berths for occupants to rest or sleep.
- F. None of above. chosen
Provenance (4 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_69d82793421c8190861eb0e673b085de |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de908804048190a4fe58afc2e0a5b6 |
completed | April 14, 2026, 7:07 p.m. |
| PD | Predicate disambiguation | batch_69de2aa1b57881909a033eac8545c417 |
completed | April 14, 2026, 11:53 a.m. |
| PDg | Predicate description generation | batch_69de2e08b6c08190bb4c929deab236a6 |
completed | April 14, 2026, 12:07 p.m. |
Created at: April 10, 2026, 1:17 a.m.