Triple
T14999086
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | flag of Tanzania |
E374035
|
entity |
| Predicate | colourMeaningYellow |
P38848
|
FINISHED |
| Object | mineral wealth |
—
|
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: mineral wealth | Statement: [flag of Tanzania, colourMeaningYellow, mineral wealth]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: colourMeaningYellow Context triple: [flag of Tanzania, colourMeaningYellow, mineral wealth]
-
A.
yellowRepresents
chosen
Indicates that the color yellow is used to symbolize, denote, or stand for a particular entity, concept, or state in a given context.
-
B.
starColorSymbolism
Indicates how the color of a star is associated with particular symbolic meanings or themes.
-
C.
colorHasMeaning
Indicates that a particular color is associated with or conveys a specific meaning, symbolism, or significance.
-
D.
blueStripeMeaning
Indicates that something has the meaning, symbolism, or significance associated specifically with a blue stripe.
-
E.
starMeaning
Indicates that one entity represents or conveys the symbolic or interpretive significance of a star associated with another entity.
- 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_69d85ccc84388190aa151e5173370c8d |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded71a5618819083ae96a79735ef98 |
completed | April 15, 2026, 12:08 a.m. |
| PD | Predicate disambiguation | batch_69de9a6169b48190a679609febd2d0e3 |
completed | April 14, 2026, 7:49 p.m. |
Created at: April 10, 2026, 2:54 a.m.