Triple
T1443315
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Copa MX |
E31121
|
entity |
| Predicate | hasFinalFormat |
P28667
|
FINISHED |
| Object | two-legged final in some editions |
—
|
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: two-legged final in some editions | Statement: [Copa MX, hasFinalFormat, two-legged final in some editions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFinalFormat Context triple: [Copa MX, hasFinalFormat, two-legged final in some editions]
-
A.
hasFinalFormLetters
Indicates that certain letters in a script change to a distinct "final" shape when they appear at the end of a word.
-
B.
hasFileFormat
Indicates that one entity (typically a digital file or resource) is encoded, stored, or represented using a specific file format defined by the other entity.
-
C.
hasFormatElement
Indicates that one entity includes, is composed of, or is associated with a specific structural or formatting component of its overall format.
-
D.
hasAwardedFormat
Indicates that one entity has granted or assigned a particular award format or type to another entity.
-
E.
hasPublishingFormat
Indicates that an entity is associated with a specific format or medium in which it is published or made publicly available.
- 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_69a4991633388190a4d61b5a98aa407a |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c55714588190a95b4f677c21cbaa |
completed | March 1, 2026, 11:01 p.m. |
| PD | Predicate disambiguation | batch_69a4c47a840c819083307a65c027a19e |
completed | March 1, 2026, 10:58 p.m. |
| PDg | Predicate description generation | batch_69a4c55508948190922aee3230a4323e |
completed | March 1, 2026, 11:01 p.m. |
Created at: March 1, 2026, 8 p.m.