Triple
T24564652
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2005 British & Irish Lions tour to New Zealand |
E607747
|
entity |
| Predicate | playersDrawnFrom |
P103700
|
FINISHED |
| Object | England |
—
|
NE NERFINISHED |
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: England | Statement: [2005 British & Irish Lions tour to New Zealand, playersDrawnFrom, England]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: playersDrawnFrom Context triple: [2005 British & Irish Lions tour to New Zealand, playersDrawnFrom, England]
-
A.
membersDrawnFrom
chosen
Indicates that the members of one group, set, or collection are selected or sourced from another group, set, or collection.
-
B.
numberOfDraws
Indicates the total count of times an event, game, or contest has ended in a draw or tie.
-
C.
typeOfDraw
Indicates that one entity is a specific kind or category of drawing or draw-related outcome associated with another entity.
-
D.
deckNumber
Indicates the specific deck or floor level associated with an entity within a multi-level structure or vehicle.
-
E.
drawsStudentsFrom
Indicates that an institution or program attracts and enrolls students originating from a particular source, place, or group.
- 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_69e2c4cc35a48190990b7571bc086df8 |
completed | April 17, 2026, 11:39 p.m. |
| NER | Named-entity recognition | batch_69f2a8f9d0f881909afc04537c32f76b |
completed | April 30, 2026, 12:57 a.m. |
| PD | Predicate disambiguation | batch_69f2a6b99e7c8190ba7e2dc8729a314a |
completed | April 30, 2026, 12:47 a.m. |
Created at: April 18, 2026, 2:28 a.m.