Triple
T31413842
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Adoption and Children Act 2002 |
E801338
|
entity |
| Predicate | reformsAreaOfLaw |
P88043
|
FINISHED |
| Object | adoption law |
—
|
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: adoption law | Statement: [Adoption and Children Act 2002, reformsAreaOfLaw, adoption law]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reformsAreaOfLaw Context triple: [Adoption and Children Act 2002, reformsAreaOfLaw, adoption law]
-
A.
reformsArea
chosen
Indicates that an entity is responsible for changing, improving, or restructuring a particular area or domain.
-
B.
legalReformer
Indicates that an entity works to change, improve, or modernize laws or legal systems.
-
C.
associatedWithLegalReforms
Indicates a relationship where an entity is connected to, involved in, or influenced by specific legal reforms or changes in law.
-
D.
notableAreaOfLaw
Indicates that a person or entity is particularly recognized or distinguished in a specific field or area of law.
-
E.
reformsBy
Indicates that one entity initiates, implements, or is responsible for changes or improvements (reforms) affecting another entity.
- 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_69f348c0dd648190bf2fd7642f78eb06 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6a5f71b2c8190aade8a83f465be0c |
completed | May 3, 2026, 1:33 a.m. |
| PD | Predicate disambiguation | batch_69f69fe66df08190958558d63ee623d9 |
completed | May 3, 2026, 1:07 a.m. |
Created at: April 30, 2026, 8:41 p.m.