Triple
T20755225
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rob Burrow |
E510826
|
entity |
| Predicate | numberOfCapsForGreatBritain |
P10860
|
FINISHED |
| Object | 5 |
—
|
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: 5 | Statement: [Rob Burrow, numberOfCapsForGreatBritain, 5]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfCapsForGreatBritain Context triple: [Rob Burrow, numberOfCapsForGreatBritain, 5]
-
A.
numberOfEnglandCaps
Indicates the number of times an entity has represented England in official international appearances (caps).
-
B.
resultForGreatBritain
Indicates the outcome or performance achieved specifically by Great Britain in a given event, context, or measurement.
-
C.
numberOfSeatsInHouseOfCommons
Indicates the total count of seats allocated in the House of Commons.
-
D.
locatedInBritishCountry
Indicates that one entity is geographically or administratively situated within a country that is part of the United Kingdom.
-
E.
hasInternationalCapsFor
chosen
Indicates that an individual has made official appearances (caps) for a specified national team in international competition.
- 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_69e0b4c909ec8190b05987f1639513f6 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c22e0d288190ba924423af59d70d |
completed | April 21, 2026, 12:17 a.m. |
| PD | Predicate disambiguation | batch_69e5c0509608819080cdbf47fcddfe36 |
completed | April 20, 2026, 5:57 a.m. |
Created at: April 16, 2026, 12:34 p.m.