Triple
T608742
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Super Bowl |
E12050
|
entity |
| Predicate | typicallyHeldIn |
P17057
|
FINISHED |
| Object | late January |
—
|
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: late January | Statement: [Super Bowl, typicallyHeldIn, late January]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicallyHeldIn Context triple: [Super Bowl, typicallyHeldIn, late January]
-
A.
organisedIn
Indicates that an event, activity, or entity is arranged, coordinated, or held within a particular place, context, or organizational framework.
-
B.
venue
Indicates the place or location where an event, activity, or interaction takes place.
-
C.
tookPlaceInState
Indicates that an event or occurrence happened within the geographical or political boundaries of a specific state.
-
D.
convenesIn
Indicates that an entity brings together or assembles a group, meeting, or event at a specific place or venue.
-
E.
convenesDuring
Indicates that one entity formally gathers or brings together another entity or group during a specified time period or event.
- 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_69a493309df48190a327f748e88049a6 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49df54eec8190af3f5f04c01d5d2a |
completed | March 1, 2026, 8:13 p.m. |
| PD | Predicate disambiguation | batch_69a49cf8fc1c81908a9c7df552aa1a59 |
completed | March 1, 2026, 8:09 p.m. |
| PDg | Predicate description generation | batch_69a49def31ec81909dc53e70f4a36eda |
completed | March 1, 2026, 8:13 p.m. |
Created at: March 1, 2026, 7:35 p.m.