Triple
T38083385
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tax Credits Act 2002 |
E950912
|
entity |
| Predicate | predecessorSchemeOf |
P80614
|
FINISHED |
| Object | universal credit |
—
|
NE NERFINISHED |
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: universal credit | Statement: [Tax Credits Act 2002, predecessorSchemeOf, universal credit]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: predecessorSchemeOf Context triple: [Tax Credits Act 2002, predecessorSchemeOf, universal credit]
-
A.
predecessor
Indicates that one entity comes before another in an ordered sequence or succession.
-
B.
predecessorInConcept
Indicates that one concept temporally or logically comes before another in a sequence or developmental progression.
-
C.
predecessorRelationship
chosen
Indicates that one entity comes before another in an ordered sequence, chain, or lineage, serving as its prior or earlier counterpart.
-
D.
predecessorSeries
Indicates that one series directly precedes another in an ordered sequence or lineage.
-
E.
intendedPredecessorOf
Indicates that one entity is meant or planned to come before another in a sequence, order, or process.
- 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_69f76f03a3608190a73fd6df87c792a8 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fe7bfc94bc81909eeec946e8c1c450 |
completed | May 9, 2026, 12:12 a.m. |
| PD | Predicate disambiguation | batch_69fe7b74a1188190886f128e07f712da |
completed | May 9, 2026, 12:10 a.m. |
Created at: May 3, 2026, 4:21 p.m.