Triple
T13967122
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fabio Capello |
E335952
|
entity |
| Predicate | startOfTenureAsRussiaManager |
P45095
|
FINISHED |
| Object | 2012 |
—
|
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: 2012 | Statement: [Fabio Capello, startOfTenureAsRussiaManager, 2012]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: startOfTenureAsRussiaManager Context triple: [Fabio Capello, startOfTenureAsRussiaManager, 2012]
-
A.
officeStartTime (Vice President of Russia)
Indicates the time at which the Vice President of Russia officially began their term in office.
-
B.
tenureAsGeneralManagerStart
Indicates the date or time when an individual begins their tenure serving as a general manager.
-
C.
timeInOfficeBeginsIn
Indicates the point in time or date when an entity’s term, tenure, or period in office starts.
-
D.
timeAsManagerStart
chosen
Indicates the point in time when an entity first began serving in a managerial role over another entity.
-
E.
yearOfReturnToRussia
Indicates the specific year in which an entity returned to Russia after having been away.
- 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_69d81c61f3508190aaf2ca0dc0002c59 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2e8c9e988190a84c9ca8a78b515f |
completed | April 14, 2026, 12:09 p.m. |
| PD | Predicate disambiguation | batch_69dd465a21408190b912a42c50ffa0d9 |
completed | April 13, 2026, 7:39 p.m. |
Created at: April 9, 2026, 10:18 p.m.