Triple
T405497
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AFC East |
E9373
|
entity |
| Predicate | hasStandings |
P11178
|
FINISHED |
| Object | AFC East standings |
—
|
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: AFC East standings | Statement: [AFC East, hasStandings, AFC East standings]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasStandings Context triple: [AFC East, hasStandings, AFC East standings]
-
A.
hasStand
Indicates that an entity possesses, is equipped with, or is supported by a stand or base structure.
-
B.
hasScoreboard
Indicates that one entity is equipped with or associated with a scoreboard used to display scores or results.
-
C.
supportsChampionshipsOf
Indicates that one entity provides backing, resources, or endorsement for the championships associated with another entity.
-
D.
leaguePennants
Indicates that a team has won a specified number of league pennants (championship titles) in a particular league.
-
E.
sportsCountStatus
Indicates the status or condition of how many sports-related items or activities are present or counted.
- 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_69a2e8004cb88190b92ed1add6abf41a |
completed | Feb. 28, 2026, 1:05 p.m. |
| NER | Named-entity recognition | batch_69a2eca37fe881909802126952dfdd59 |
completed | Feb. 28, 2026, 1:24 p.m. |
| PD | Predicate disambiguation | batch_69a2e97066e8819083cc1b3a421b9650 |
completed | Feb. 28, 2026, 1:11 p.m. |
| PDg | Predicate description generation | batch_69a2ea60e590819081779a6510918d9b |
completed | Feb. 28, 2026, 1:15 p.m. |
Created at: Feb. 28, 2026, 1:08 p.m.