Triple
T1654278
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Xavi Hernández |
E35761
|
entity |
| Predicate | nationalCapsForCatalonia |
P30937
|
FINISHED |
| Object | 12 |
—
|
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: 12 | Statement: [Xavi Hernández, nationalCapsForCatalonia, 12]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nationalCapsForCatalonia Context triple: [Xavi Hernández, nationalCapsForCatalonia, 12]
-
A.
nationalCaps
Indicates that one entity serves as the national capital city of another entity (typically a country or nation).
-
B.
ElClásicoClubs
Indicates a relationship where two football clubs are the opposing teams that contest the rivalry match known as El Clásico.
-
C.
strategicObjectiveSpain
Indicates that an entity has a strategic objective specifically related to Spain.
-
D.
EuropeanCupTitles
Indicates the number of European Cup (now UEFA Champions League) titles that an entity, typically a football club, has won.
-
E.
mostTeamsInCountry
Indicates that an entity has the highest number of teams located within a given country compared to all other entities.
- 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.