Triple
T14916696
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | coat of arms of Hong Kong (1959–1997) |
E371400
|
entity |
| Predicate | grantedOn |
P116663
|
FINISHED |
| Object | 1959-01-21 |
—
|
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: 1959-01-21 | Statement: [coat of arms of Hong Kong (1959–1997), grantedOn, 1959-01-21]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: grantedOn Context triple: [coat of arms of Hong Kong (1959–1997), grantedOn, 1959-01-21]
-
A.
grantedIn
Indicates that something (such as a right, status, or permission) is formally conferred or authorized within a particular context, document, or jurisdiction.
-
B.
grantedBy
Indicates that a right, permission, or benefit is conferred or authorized by one entity to another.
-
C.
grantedTo
Indicates that a right, permission, or resource has been formally given or assigned by one party to another.
-
D.
grantedWith
Indicates that one entity is given, conferred, or endowed together with another entity as part of the same granting event or condition.
-
E.
grantedAs
Indicates that one entity is conferred, assigned, or bestowed in a particular role, status, or capacity to another entity.
- 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_69d85cc7ea3481908228b5acb7d06f12 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded62038508190946499cd3552990e |
completed | April 15, 2026, 12:04 a.m. |
| PD | Predicate disambiguation | batch_69de9a52ba988190a26e268b4ea083ea |
completed | April 14, 2026, 7:49 p.m. |
| PDg | Predicate description generation | batch_69deb1a4d8dc8190a4c0841c20f2875f |
completed | April 14, 2026, 9:29 p.m. |
Created at: April 10, 2026, 2:32 a.m.