Triple
T4758489
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | rugby sevens |
E105644
|
entity |
| Predicate | conversionPoints |
P58328
|
FINISHED |
| Object | 2 |
—
|
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: 2 | Statement: [rugby sevens, conversionPoints, 2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: conversionPoints Context triple: [rugby sevens, conversionPoints, 2]
-
A.
conversionPlace
Indicates the location where one entity is transformed, converted, or changed into another form or state.
-
B.
conversionBasis
Indicates the reference standard, rate, or unit system used as the foundation for converting one quantity, unit, or representation into another.
-
C.
centralToDenomination
Indicates that something is a core or defining element within a particular religious denomination.
-
D.
conversionProcess
Indicates a process in which something is transformed or changed from one state, form, or representation into another.
-
E.
convertedCountryTo
Indicates that an entity has changed or transformed another entity into a specified country or country-level status.
- 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_69bd43f14cac819081c7c69803648211 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd650c11f4819098cd1f490f711dc8 |
completed | March 20, 2026, 3:17 p.m. |
| PD | Predicate disambiguation | batch_69bd6225c9488190afee5bb3619d0365 |
completed | March 20, 2026, 3:05 p.m. |
| PDg | Predicate description generation | batch_69bd631328fc81909b28ae0a2a3ed9bb |
completed | March 20, 2026, 3:09 p.m. |
Created at: March 20, 2026, 1:20 p.m.