Triple
T12130316
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | flag of British colonial Nigeria |
E288916
|
entity |
| Predicate | scriptOnBadge |
P44573
|
FINISHED |
| Object | Latin script |
—
|
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: Latin script | Statement: [flag of British colonial Nigeria, scriptOnBadge, Latin script]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: scriptOnBadge Context triple: [flag of British colonial Nigeria, scriptOnBadge, Latin script]
-
A.
scriptOnFlag
Indicates that a script is attached to and/or executed when a specific flag or condition is set.
-
B.
scriptOnRibbon
Indicates that a piece of writing or inscription is present on a ribbon associated with the subject.
-
C.
scriptPromoted
Indicates that a script has been elevated in status or visibility, such as being featured, recommended, or moved to a higher-priority category.
-
D.
scriptOnSeal
Indicates that written characters or inscriptions are present on the surface of a seal.
-
E.
badgeText
chosen
Indicates that a visual badge or label is associated with an entity, displaying specific text content.
- 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_69d6ab4b5e4c81909950b17151eb0951 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d91841615c819097f20a7447a1b8f4 |
completed | April 10, 2026, 3:33 p.m. |
| PD | Predicate disambiguation | batch_69d91508f8008190b3a90ec0bf0953ca |
completed | April 10, 2026, 3:19 p.m. |
Created at: April 8, 2026, 9:49 p.m.