Triple
T21594000
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flag of Hong Kong |
E532848
|
entity |
| Predicate | petalContains |
P144097
|
FINISHED |
| Object | red five-pointed star |
—
|
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: red five-pointed star | Statement: [Flag of Hong Kong, petalContains, red five-pointed star]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: petalContains Context triple: [Flag of Hong Kong, petalContains, red five-pointed star]
-
A.
hasPetalType
Indicates that an entity possesses petals characterized by a specific type or form.
-
B.
hasSpecializedPetal
Indicates that an entity possesses petals that are specialized or modified for a particular function or role.
-
C.
petalShape
Indicates the characteristic form or outline of a flower’s petals in relation to the whole blossom.
-
D.
petalCount
Indicates the number of petals associated with an entity, typically a flower or floral structure.
-
E.
hasSepals
Indicates that an entity (typically a flower) possesses sepals as part of its structure.
- 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_69e0c46251648190876f0427cf2d321b |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69eefadf6e608190b42b26ea22c76ec6 |
completed | April 27, 2026, 5:57 a.m. |
| PD | Predicate disambiguation | batch_69e632109d048190b4ac3f14fe48d1a0 |
completed | April 20, 2026, 2:02 p.m. |
| PDg | Predicate description generation | batch_69e63384a8fc819084c596bb53a3a1db |
completed | April 20, 2026, 2:09 p.m. |
Created at: April 16, 2026, 6:32 p.m.