Triple
T20984568
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Child Benefit Act 1975 |
E516860
|
entity |
| Predicate | benefitNature |
P142367
|
FINISHED |
| Object | non-contributory benefit |
—
|
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: non-contributory benefit | Statement: [Child Benefit Act 1975, benefitNature, non-contributory benefit]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: benefitNature Context triple: [Child Benefit Act 1975, benefitNature, non-contributory benefit]
-
A.
benefitForEarth
Indicates that an action, object, or condition provides a positive impact or advantage specifically for the Earth or its environment.
-
B.
guidanceNature
Indicates the type or character of guidance provided in the relationship between entities (e.g., advisory, directive, supportive, or instructional).
-
C.
covertNature
Indicates that the relationship or action is carried out in a hidden, secretive, or clandestine manner, not meant to be openly observed or acknowledged.
-
D.
viewOnNature
Indicates a person's general attitude, perspective, or philosophy regarding nature and the natural environment.
-
E.
sharesNatureWith
Indicates that two entities possess the same fundamental characteristics, qualities, or essence.
- 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_69e0b4ffac148190bbade9f0eceb660b |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6fbe1474c8190912b90da0973f99f |
completed | April 21, 2026, 4:24 a.m. |
| PD | Predicate disambiguation | batch_69e5dbec80708190a49bccab7ff97e7b |
completed | April 20, 2026, 7:55 a.m. |
| PDg | Predicate description generation | batch_69e5e2df1a888190b5b478e76bdf7fdf |
completed | April 20, 2026, 8:25 a.m. |
Created at: April 16, 2026, 1:48 p.m.