Triple
T10131771
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vicente del Bosque |
E226354
|
entity |
| Predicate | endTimeAsSpainCoach |
P72507
|
FINISHED |
| Object | 2016 |
—
|
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: 2016 | Statement: [Vicente del Bosque, endTimeAsSpainCoach, 2016]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: endTimeAsSpainCoach Context triple: [Vicente del Bosque, endTimeAsSpainCoach, 2016]
-
A.
endTimeAsCaptain
Indicates the point in time at which an entity’s role or tenure as a captain comes to an end.
-
B.
endTimeAsCapital
Indicates that a specified time marks the ending point of an event, process, or state in the role of its designated capital or primary endpoint.
-
C.
endTime (Mayor of Madrid)
Indicates the point in time at which a person’s tenure as Mayor of Madrid concludes.
-
D.
endTimeAsCaesar
Indicates the time at which an event or state ends, expressed in the Caesar (Julian) calendar time representation.
-
E.
coachedUntil
chosen
Indicates that one entity served as a coach for another entity or team up to a specified end time or date.
- 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_69ca843057b48190a86730167f5d6b98 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cdd33557a88190b5fb1938646d8532 |
completed | April 2, 2026, 2:23 a.m. |
| PD | Predicate disambiguation | batch_69cd4ba1d360819087698d04a53cc87e |
completed | April 1, 2026, 4:45 p.m. |
Created at: March 30, 2026, 9:06 p.m.