Triple
T4761507
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Indian Act |
E105707
|
entity |
| Predicate | revisedStatutesYear |
P58386
|
FINISHED |
| Object | 1985 |
—
|
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: 1985 | Statement: [Indian Act, revisedStatutesYear, 1985]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: revisedStatutesYear Context triple: [Indian Act, revisedStatutesYear, 1985]
-
A.
legislatedOn
Indicates that a legislative body has formally considered, debated, or enacted laws or regulations concerning a particular subject or entity.
-
B.
yearOfPromulgation
Indicates the specific year in which something, typically a law or formal decree, was officially enacted or put into effect.
-
C.
dateOfEnactment
Indicates the specific calendar date on which a law, regulation, or formal measure officially comes into force.
-
D.
dateOfFirstStatuteApproval
Indicates the date on which a statute (or legal act) was first formally approved.
-
E.
amendmentYear
Indicates the year in which an amendment to a law, document, or agreement was formally made or enacted.
- 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_69bd650eefe08190b99f9f01b121dbfd |
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.