Triple
T21593989
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flag of Hong Kong |
E532848
|
entity |
| Predicate | firstOfficiallyHoisted |
P131908
|
FINISHED |
| Object | 1997-07-01 |
—
|
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: 1997-07-01 | Statement: [Flag of Hong Kong, firstOfficiallyHoisted, 1997-07-01]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstOfficiallyHoisted Context triple: [Flag of Hong Kong, firstOfficiallyHoisted, 1997-07-01]
-
A.
firstHoistedYear
chosen
Indicates the year in which something (typically a flag, banner, or similar item) was first formally raised or displayed.
-
B.
firstRaisedIn
Indicates the context (such as time, place, or source) in which an issue, idea, or topic was initially brought up or introduced.
-
C.
firstHeldAt
Indicates the initial time or event at which an entity was first held, possessed, or hosted.
-
D.
firstOfficialUse
Indicates the earliest point in time when something was formally or officially put into use.
-
E.
firstAppeared
Indicates the earliest known time or context in which an entity was introduced, observed, or came into existence.
- 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_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. |
Created at: April 16, 2026, 6:32 p.m.