Triple
T261027
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MLS Cup 2006 |
E5540
|
entity |
| Predicate | typeOfResult |
P2702
|
FINISHED |
| Object | draw after extra time |
—
|
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: draw after extra time | Statement: [MLS Cup 2006, typeOfResult, draw after extra time]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfResult Context triple: [MLS Cup 2006, typeOfResult, draw after extra time]
-
A.
resultType
chosen
Indicates the type or category of outcome that is produced by a given process, action, or operation.
-
B.
typeOf
Indicates that one entity is a specific kind, class, or category instance of another more general entity.
-
C.
typeOfOperation
Indicates the specific kind or category of operation being performed or referenced in a given context.
-
D.
testType
Indicates the specific category or kind of test associated with an entity or event.
-
E.
typeOfUnion
Indicates the specific kind or category of union relationship that exists between the related entities.
- 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_69a2580a64ac8190ad76e34bb0715b5e |
completed | Feb. 28, 2026, 2:50 a.m. |
| NER | Named-entity recognition | batch_69a25e2aba74819093eddd8d820260c0 |
completed | Feb. 28, 2026, 3:16 a.m. |
| PD | Predicate disambiguation | batch_69a25b6c968c819094fc903a3a377e15 |
completed | Feb. 28, 2026, 3:05 a.m. |
Created at: Feb. 28, 2026, 2:55 a.m.