Triple
T14643290
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harbaugh Bowl |
E343779
|
entity |
| Predicate | hostCitySuperBowlNumberForNewOrleans |
P44826
|
FINISHED |
| Object | 10 |
—
|
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: 10 | Statement: [Harbaugh Bowl, hostCitySuperBowlNumberForNewOrleans, 10]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hostCitySuperBowlNumberForNewOrleans Context triple: [Harbaugh Bowl, hostCitySuperBowlNumberForNewOrleans, 10]
-
A.
hostCityNumberOfSuperBowlsHosted
chosen
Indicates the number of Super Bowl games that have been hosted in a particular city.
-
B.
hostCitySuperBowlNumberForJacksonville
Indicates the specific Super Bowl number for which Jacksonville served as the host city.
-
C.
hostCityFirstSuperBowl
Indicates the city that hosted a team's first Super Bowl appearance.
-
D.
firstSuperBowlInCity
Indicates that the referenced Super Bowl is the first one ever held in the specified city.
-
E.
hostStadiumSuperBowlNumberAtVenue
Indicates that a specific stadium served as the host venue for a particular numbered Super Bowl at a given location or venue.
- 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_69d822e1a2cc81908e5bb93cf61ce3cc |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb4e80aa48190884bab800f357106 |
completed | April 14, 2026, 9:43 p.m. |
| PD | Predicate disambiguation | batch_69de657359c88190b082e3e9f86fc1d7 |
completed | April 14, 2026, 4:04 p.m. |
Created at: April 10, 2026, 1:26 a.m.