Triple
T1235912
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Atlético de Madrid |
E26546
|
entity |
| Predicate | domesticTitleCount |
P4419
|
FINISHED |
| Object | 11 La Liga titles (approximate, early 2020s) |
—
|
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: 11 La Liga titles (approximate, early 2020s) | Statement: [Atlético de Madrid, domesticTitleCount, 11 La Liga titles (approximate, early 2020s)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: domesticTitleCount Context triple: [Atlético de Madrid, domesticTitleCount, 11 La Liga titles (approximate, early 2020s)]
-
A.
titleCount
chosen
Indicates the number of distinct titles associated with an entity within a given context.
-
B.
continentalTitle
Indicates that a title or championship is recognized at the level of an entire continent rather than a national or global scope.
-
C.
divisionTitleCount
Indicates the number of titles or championships associated with a particular division.
-
D.
regionalTitles
Indicates that an entity holds or is associated with titles or designations that are specific to particular geographic regions.
-
E.
domesticProgram
Indicates a program, initiative, or activity that operates within and is limited to a specific country’s internal context or territory.
- 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_69a4948571c88190a9191e451e6035fd |
completed | March 1, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69a4bf17e0bc8190a066561e6b629fc0 |
completed | March 1, 2026, 10:35 p.m. |
| PD | Predicate disambiguation | batch_69a4bb67d52c8190815d6356b79d6ed5 |
completed | March 1, 2026, 10:19 p.m. |
Created at: March 1, 2026, 7:47 p.m.