Triple
T21593853
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flag of Vietnam |
E532845
|
entity |
| Predicate | starPointMeaning |
P69973
|
FINISHED |
| Object | workers |
—
|
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: workers | Statement: [Flag of Vietnam, starPointMeaning, workers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: starPointMeaning Context triple: [Flag of Vietnam, starPointMeaning, workers]
-
A.
starMeaning
chosen
Indicates that one entity represents or conveys the symbolic or interpretive significance of a star associated with another entity.
-
B.
starPointRepresents
Indicates that a specific star point symbol or marker is used to represent or denote another entity, feature, or value.
-
C.
sunMeaning
Indicates that something represents, conveys, or embodies the meaning or symbolic significance of the sun in a given context.
-
D.
stripeMeaning
Indicates that one entity’s stripes symbolize, represent, or convey a particular meaning or significance in relation to another entity or context.
-
E.
starSign
Indicates the astrological zodiac sign associated with a person or entity based on their birth date.
- 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.