Triple
T513236
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Super Bowl XLVI |
E10650
|
entity |
| Predicate | hostCityFirstSuperBowl |
P15410
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Super Bowl XLVI, hostCityFirstSuperBowl, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hostCityFirstSuperBowl Context triple: [Super Bowl XLVI, hostCityFirstSuperBowl, true]
-
A.
cityOfChampion
Indicates that a particular city is recognized as the home or representative city of a given champion or championship-winning entity.
-
B.
majorParadeCity
Indicates that a city is a primary or significant location where a major parade is held.
-
C.
mayorSeatOf
Indicates that a particular mayor holds office as the chief elected official of a specified city or municipality.
-
D.
primaryCity
Indicates that one city serves as the main or most important city associated with a given region, entity, or context.
-
E.
largestCity
Indicates that one city is the most populous or significant urban center within a specified region or entity.
- 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_69a2e84a0d08819087e01863fcd9abf1 |
completed | Feb. 28, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69a2f232fa688190b08a2fe3f22c7a6e |
completed | Feb. 28, 2026, 1:48 p.m. |
| PD | Predicate disambiguation | batch_69a2f013c05481909e6dc87e7b20ebd8 |
completed | Feb. 28, 2026, 1:39 p.m. |
| PDg | Predicate description generation | batch_69a2f23214248190aa5fe1138f0f5a58 |
completed | Feb. 28, 2026, 1:48 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.