Triple
T1654302
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Xavi Hernández |
E35761
|
entity |
| Predicate | managerYearsAtFCBarcelona |
P30940
|
FINISHED |
| Object | 2021–2024 |
—
|
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: 2021–2024 | Statement: [Xavi Hernández, managerYearsAtFCBarcelona, 2021–2024]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: managerYearsAtFCBarcelona Context triple: [Xavi Hernández, managerYearsAtFCBarcelona, 2021–2024]
-
A.
managerDebutYear
Indicates the year in which an individual first began their role as a manager.
-
B.
managerOfYearLeague
Indicates that an individual has been recognized as the manager of the year for a particular league in a given season or time period.
-
C.
leagueEntryYear
Indicates the year in which an entity first entered or joined a particular league.
-
D.
activeYearsMLB
Indicates the span of years during which an entity was actively participating in Major League Baseball.
-
E.
WorldCupAppearances
Indicates the number of times an entity has participated in FIFA World Cup final tournaments.
- F. None of above. chosen
Provenance (4 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_69a8860568888190a32cd9f70acbba42 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aaf3359ce48190803b322db8ad6027 |
completed | March 6, 2026, 3:31 p.m. |
| PD | Predicate disambiguation | batch_69a907cff53c8190b424f088478d3e2c |
completed | March 5, 2026, 4:34 a.m. |
| PDg | Predicate description generation | batch_69a99a4c3810819089d2dd0e23c8e46b |
completed | March 5, 2026, 2:59 p.m. |
Created at: March 4, 2026, 7:29 p.m.