Triple
T14791186
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flag of Fiji |
E347657
|
entity |
| Predicate | officialLanguageOnCoatOfArms |
P91136
|
FINISHED |
| Object | English |
—
|
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: English | Statement: [Flag of Fiji, officialLanguageOnCoatOfArms, English]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: officialLanguageOnCoatOfArms Context triple: [Flag of Fiji, officialLanguageOnCoatOfArms, English]
-
A.
officialLanguageOnEmblem
chosen
Indicates that a particular language is used as the official language displayed on an emblem, such as a coat of arms, seal, or flag.
-
B.
officialLanguageOnFlag
Indicates that a particular language is officially represented in the text or inscriptions displayed on a flag.
-
C.
languageOfOfficialBlazon
Indicates the language in which the official blazon (formal heraldic description) of a coat of arms or emblem is written.
-
D.
officialLanguage
Indicates that a particular language has been formally designated by an authority as the official language used for government, legal, or administrative purposes in a given jurisdiction.
-
E.
hasLanguageOfficial
Indicates that a language holds official status within a given entity, such as a country, region, or organization.
- 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_69d822ea8b7c819097dfadf3d45545e6 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69decd5d134c819080ee788b2e34163a |
completed | April 14, 2026, 11:27 p.m. |
| PD | Predicate disambiguation | batch_69de8c090d1081909b5a9bf437499d6c |
completed | April 14, 2026, 6:48 p.m. |
Created at: April 10, 2026, 1:31 a.m.