Triple
T11352267
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | H.263 |
E268864
|
entity |
| Predicate | yearStandardFirstApproved |
P62976
|
FINISHED |
| Object | 1995 |
—
|
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: 1995 | Statement: [H.263, yearStandardFirstApproved, 1995]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: yearStandardFirstApproved Context triple: [H.263, yearStandardFirstApproved, 1995]
-
A.
yearApproved
chosen
Indicates the specific year in which something (such as a proposal, product, or decision) was formally approved.
-
B.
firstStandardApproved
Indicates that an entity is the earliest or initial standard that has received formal approval.
-
C.
wasFirstApprovedIn
Indicates the time or context in which something (such as a proposal, product, or document) received its initial official approval.
-
D.
dateOfFirstStatuteApproval
Indicates the date on which a statute (or legal act) was first formally approved.
-
E.
regulatoryApprovalYear
Indicates the calendar year in which an official regulatory body granted approval for the referenced item, action, or 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_69d6aacbe18081909e5fadb50082dd96 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d80148e2048190a716b515d78efdd1 |
completed | April 9, 2026, 7:43 p.m. |
| PD | Predicate disambiguation | batch_69d7e6f8aeb4819080476f16a69b2ee3 |
completed | April 9, 2026, 5:50 p.m. |
Created at: April 8, 2026, 9:33 p.m.