Triple
T38058465
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Real Madrid U14 |
E950267
|
entity |
| Predicate | academyTier |
P4144
|
FINISHED |
| Object | pre-elite development stage |
—
|
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: pre-elite development stage | Statement: [Real Madrid U14, academyTier, pre-elite development stage]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: academyTier Context triple: [Real Madrid U14, academyTier, pre-elite development stage]
-
A.
memberAcademicTier
Indicates that an entity belongs to a specific academic tier or level within an academic ranking or classification system.
-
B.
trainingLevel
chosen
Indicates the degree or stage of training or skill development that an entity has attained.
-
C.
academyClass
Indicates that an entity is a class, course, or instructional grouping offered within an academy or educational institution.
-
D.
eliteTierSystem
Indicates a relationship where entities are organized or classified into higher, privileged levels within a tiered ranking or status system.
-
E.
tuitionLevel
Indicates the relative cost or pricing tier of tuition associated with an 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_69f76f01e63c819093b6012fc974f35a |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fc4748843c8190931432653be4890c |
completed | May 7, 2026, 8:03 a.m. |
| PD | Predicate disambiguation | batch_69fc45646ce481908caf292ff9f06e15 |
completed | May 7, 2026, 7:55 a.m. |
Created at: May 3, 2026, 4:21 p.m.