Triple
T27706100
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UP |
E698562
|
entity |
| Predicate | notableSplit |
P201733
|
FINISHED |
| Object | formation of the United Party (Reconstituted) in 1975 |
—
|
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: formation of the United Party (Reconstituted) in 1975 | Statement: [UP, notableSplit, formation of the United Party (Reconstituted) in 1975]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableSplit Context triple: [UP, notableSplit, formation of the United Party (Reconstituted) in 1975]
-
A.
notableAttempt
Indicates that an entity made a significant or noteworthy effort to perform or achieve another entity or outcome.
-
B.
notableStatistic
Indicates that a particular statistic is especially significant or noteworthy in relation to the subject.
-
C.
notablePlayType
Indicates that a particular type or category of play is especially significant or characteristic for the subject.
-
D.
notablePlay
Indicates that a particular play is especially famous, significant, or noteworthy in relation to the entity it is associated with.
-
E.
notableRunnerScored
Indicates that a runner who is considered notable successfully scored (e.g., a run or point) in the relevant event or context.
- 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_69ef590f655c81909f93893b3b3219b2 |
completed | April 27, 2026, 12:39 p.m. |
| NER | Named-entity recognition | batch_6a0019b0e9fc81909494320f05e81742 |
completed | May 10, 2026, 5:37 a.m. |
| PD | Predicate disambiguation | batch_6a00193379e0819096d1985686ce10e3 |
completed | May 10, 2026, 5:35 a.m. |
| PDg | Predicate description generation | batch_6a0019b009a481908d09ef90b693a466 |
completed | May 10, 2026, 5:37 a.m. |
Created at: April 27, 2026, 2:59 p.m.