Triple
T33348245
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tana Umaga |
E853858
|
entity |
| Predicate | nationalPoints |
P192932
|
FINISHED |
| Object | 185 |
—
|
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: 185 | Statement: [Tana Umaga, nationalPoints, 185]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nationalPoints Context triple: [Tana Umaga, nationalPoints, 185]
-
A.
nationalProminence
Indicates that an entity has achieved widespread recognition, influence, or importance at the level of an entire nation.
-
B.
nationalRank
Indicates the position or standing of an entity within a ranking system at the national level.
-
C.
nationalOrder
Indicates that an entity has been awarded or holds a formal national honor, decoration, or order conferred by a country.
-
D.
nationalTopRank
Indicates that an entity holds the highest rank or leading position at the national level within a specified domain or category.
-
E.
nationalRankingScope
Indicates that the ranking being referred to is evaluated at the national (country-wide) level rather than regional or local scopes.
- 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_69f3496a1a588190bad9cbe9221144e0 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69fd32848ea88190a71e6df402bbb30e |
completed | May 8, 2026, 12:47 a.m. |
| PD | Predicate disambiguation | batch_69fd2d7e95588190991d5f21e25155df |
completed | May 8, 2026, 12:25 a.m. |
| PDg | Predicate description generation | batch_69fd328298ac8190b6bd5ded7dca270d |
completed | May 8, 2026, 12:46 a.m. |
Created at: May 1, 2026, 1:34 a.m.