Triple
T2604607
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Induction into European Hall of Fame |
E58629
|
entity |
| Predicate | honorFor |
P15675
|
FINISHED |
| Object | outstanding football achievements in Europe |
—
|
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: outstanding football achievements in Europe | Statement: [Induction into European Hall of Fame, honorFor, outstanding football achievements in Europe]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: honorFor Context triple: [Induction into European Hall of Fame, honorFor, outstanding football achievements in Europe]
-
A.
honoredThrough
chosen
Indicates that one entity is recognized or commemorated by means of another entity, event, or action.
-
B.
honors
Indicates that one entity shows respect, recognition, or esteem toward another entity, often in a formal or ceremonial way.
-
C.
honourType
Indicates the specific category or classification of an honour or award associated with an entity.
-
D.
honorLevel
Indicates the degree or status of respect, distinction, or recognition accorded to an entity relative to others.
-
E.
honour
Indicates showing respect, admiration, or recognition toward someone or something, often through actions, words, or ceremonial acknowledgment.
- 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_69ab4ac3523881909679750c9f8c2dec |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abd8def9bc8190b2e013abffc7b191 |
completed | March 7, 2026, 7:50 a.m. |
| PD | Predicate disambiguation | batch_69abd80ab7248190ba06ba14fe4c5638 |
completed | March 7, 2026, 7:47 a.m. |
Created at: March 6, 2026, 9:49 p.m.