Triple
T3601589
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vince Lombardi Trophy |
E76267
|
entity |
| Predicate | replacedEachYear |
P50167
|
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: [Vince Lombardi Trophy, replacedEachYear, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: replacedEachYear Context triple: [Vince Lombardi Trophy, replacedEachYear, true]
-
A.
replacedInYear
Indicates that one entity took the place of or superseded another entity in a specific calendar year.
-
B.
changesEvery
Indicates that one entity undergoes a change whenever or each time another specified condition, event, or entity changes.
-
C.
replacedDuring
Indicates that one entity took the place of another entity during a specified time period or interval.
-
D.
redefinitionYear
Indicates the year in which something was redefined, such as when its definition, scope, or formal status was officially changed.
-
E.
deckRebuiltAnnually
Indicates that the deck is reconstructed or significantly renovated every year.
- 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_69ad85d93dcc819094fba90cf70f4996 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc1dd264c819098796f5f50f251be |
completed | March 8, 2026, 6:37 p.m. |
| PD | Predicate disambiguation | batch_69adb83b66708190bb9d2f23d6fd308e |
completed | March 8, 2026, 5:56 p.m. |
| PDg | Predicate description generation | batch_69adb9261a948190b67f6c6ac0dae2e9 |
completed | March 8, 2026, 6 p.m. |
Created at: March 8, 2026, 3:22 p.m.