Triple
T194731
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Super Bowl XXXIX |
E3793
|
entity |
| Predicate | RomanNumeral |
P7465
|
FINISHED |
| Object | XXXIX |
—
|
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: XXXIX | Statement: [Super Bowl XXXIX, RomanNumeral, XXXIX]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: RomanNumeral Context triple: [Super Bowl XXXIX, RomanNumeral, XXXIX]
-
A.
hasRomanizationOf
Indicates that one entity is a romanized representation (written in the Latin alphabet) of the other entity’s original script form.
-
B.
centralToDenomination
Indicates that something is a core or defining element within a particular religious denomination.
-
C.
logarithmBaseDetermines
Indicates that the chosen base of a logarithm determines how a quantity is expressed or scaled in logarithmic terms.
-
D.
reverseInscription
Indicates that one entity is inscribed as the reverse or mirror image of another entity’s inscription.
-
E.
UnicodeBlock
Indicates that a character belongs to a specific contiguous range of code points defined as a Unicode block.
- 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_69a2548debd48190ae3a06d6e65b53c6 |
completed | Feb. 28, 2026, 2:35 a.m. |
| NER | Named-entity recognition | batch_69a25969425081908e178db8ba4631c2 |
completed | Feb. 28, 2026, 2:56 a.m. |
| PD | Predicate disambiguation | batch_69a25677da14819094cd02868fd30c83 |
completed | Feb. 28, 2026, 2:44 a.m. |
| PDg | Predicate description generation | batch_69a258b30f6c8190be2181f30c40e04d |
completed | Feb. 28, 2026, 2:53 a.m. |
Created at: Feb. 28, 2026, 2:41 a.m.