Triple
T9774355
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New Zealand national rugby union team |
E237208
|
entity |
| Predicate | hasWorldNumberOneRankingHistory |
P9283
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [New Zealand national rugby union team, hasWorldNumberOneRankingHistory, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasWorldNumberOneRankingHistory Context triple: [New Zealand national rugby union team, hasWorldNumberOneRankingHistory, true]
-
A.
yearsAsWorldNumberOne
Indicates the number of years an entity held the position of world number one in its field or ranking system.
-
B.
formerWorldNo1
chosen
Indicates that the subject was ranked number one in the world in the past, but does not hold that top ranking currently.
-
C.
consecutiveWeeksAtWorldNo1
Indicates the number of weeks in a row that an entity has held the world number one ranking.
-
D.
hasWorldRankingPoints
Indicates that an entity possesses a certain number of points in a global or international ranking system.
-
E.
hasRankAtPeakOfCareer
Indicates the specific rank or position an entity held at the highest point of its career.
- 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_69ca84d975a08190aab25b02a89bdab3 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cda13148288190bcbb3b4a066d9fc1 |
completed | April 1, 2026, 10:50 p.m. |
| PD | Predicate disambiguation | batch_69cd03d3b68c81909e570401a891b9f2 |
completed | April 1, 2026, 11:38 a.m. |
Created at: March 30, 2026, 8:26 p.m.