Triple
T14916726
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | coat of arms of Hong Kong (1959–1997) |
E371400
|
entity |
| Predicate | statusAfter1997 |
P116664
|
FINISHED |
| Object | no longer official |
—
|
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: no longer official | Statement: [coat of arms of Hong Kong (1959–1997), statusAfter1997, no longer official]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: statusAfter1997 Context triple: [coat of arms of Hong Kong (1959–1997), statusAfter1997, no longer official]
-
A.
statusAfter1996
Indicates the status or condition of an entity as it exists after the year 1996.
-
B.
statusAfter1995
Indicates the condition or state of an entity specifically in the period after the year 1995.
-
C.
statusAfter1994
Indicates the status or condition of an entity specifically in the period after the year 1994.
-
D.
statusAfter1970
Indicates the status or condition of an entity as it exists after the year 1970.
-
E.
statusAfter1991
Indicates the status or condition of an entity in the period following the year 1991.
- 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.