Triple
T10783720
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eastern Conference (NFL) |
E254395
|
entity |
| Predicate | numberOfTeamsAtDissolution |
P13543
|
FINISHED |
| Object | 8 |
—
|
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: 8 | Statement: [Eastern Conference (NFL), numberOfTeamsAtDissolution, 8]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfTeamsAtDissolution Context triple: [Eastern Conference (NFL), numberOfTeamsAtDissolution, 8]
-
A.
mostTeamsDissolvedBy
Indicates that the subject entity is the one by which the greatest number of teams have been dissolved or disbanded.
-
B.
formerNumberOfTeams
chosen
Indicates the number of teams that an entity previously had before a change or reorganization.
-
C.
numberOfTeamsLater
Indicates that one entity has a greater number of teams than another entity at a later point in time.
-
D.
disbandedAt
Indicates the time or date at which an organized group, body, or entity formally ceased to exist or operate.
-
E.
hasNumberOfTeams
Indicates the quantity of teams associated with or contained by a given entity.
- 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_69d6aa609f008190a294200aefcb7bd5 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d732d1b4bc8190871dd21265065705 |
completed | April 9, 2026, 5:02 a.m. |
| PD | Predicate disambiguation | batch_69d6f316940c819092a96c429629fdef |
completed | April 9, 2026, 12:30 a.m. |
Created at: April 8, 2026, 9:17 p.m.