Triple
T24564625
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2005 British & Irish Lions tour to New Zealand |
E607747
|
entity |
| Predicate | testMatchesDrawn |
P102804
|
FINISHED |
| Object | 0 |
—
|
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: 0 | Statement: [2005 British & Irish Lions tour to New Zealand, testMatchesDrawn, 0]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: testMatchesDrawn Context triple: [2005 British & Irish Lions tour to New Zealand, testMatchesDrawn, 0]
-
A.
numberOfDraws
Indicates the total count of times an event, game, or contest has ended in a draw or tie.
-
B.
testMatches
Indicates that a given test case or pattern corresponds to, satisfies, or correctly aligns with a specified input, condition, or expected outcome.
-
C.
numberOfTestMatches
chosen
Indicates the total count of test matches associated with a given entity (such as a player, team, or series) in the relationship.
-
D.
testMatchStatus
Indicates the current state or outcome of a specific test match within its lifecycle (e.g., scheduled, in progress, completed, or cancelled).
-
E.
numberOfMatchesForAllBlacks
Indicates the total count of matches or occurrences involving all black entities in the given context.
- 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.