Triple
T29384656
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | coat of arms of Niger |
E745218
|
entity |
| Predicate | flagColorsRepresented |
P4670
|
FINISHED |
| Object | orange |
—
|
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: orange | Statement: [coat of arms of Niger, flagColorsRepresented, orange]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: flagColorsRepresented Context triple: [coat of arms of Niger, flagColorsRepresented, orange]
-
A.
nationalFlagColor
chosen
Indicates that a specific color appears on the national flag of a given country.
-
B.
nationalColorsRepresented
Indicates that the national colors of an entity are visibly included or symbolically expressed in another entity or context.
-
C.
nationalColours
Indicates the relationship in which certain colours are officially designated as representing a nation, typically used on its flag, emblems, or other national symbols.
-
D.
nationalFlag
Indicates that one entity is the official national flag representing the other entity (a country or nation).
-
E.
officialFlagOf
Indicates that one entity is the formally recognized flag that represents another entity (such as a country, organization, or region).
- 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_69f0a79cfd5481909b4dde750cb8d2c6 |
completed | April 28, 2026, 12:27 p.m. |
| NER | Named-entity recognition | batch_69f669d0c45c8190ac5b67a0e89e8aae |
completed | May 2, 2026, 9:17 p.m. |
| PD | Predicate disambiguation | batch_69f660f4f7a88190b93c60d76b86c912 |
completed | May 2, 2026, 8:39 p.m. |
Created at: April 28, 2026, 2:37 p.m.