Triple
T29585704
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ram Naumi |
E754013
|
entity |
| Predicate | countryOrRegionOfSignificance |
P26995
|
FINISHED |
| Object | Fiji |
—
|
NE NERFINISHED |
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: Fiji | Statement: [Ram Naumi, countryOrRegionOfSignificance, Fiji]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countryOrRegionOfSignificance Context triple: [Ram Naumi, countryOrRegionOfSignificance, Fiji]
-
A.
countryOfCulturalSignificance
chosen
Indicates that a country holds notable cultural importance or influence for a given entity, such as a person, group, object, or practice.
-
B.
regionHasCulturalHeritage
Indicates that a specific region possesses, contains, or is associated with particular cultural heritage.
-
C.
isRegionalLandmark
Indicates that a place or structure is widely recognized as a notable or iconic landmark within a specific geographic region.
-
D.
countryOfUNESCOProperty
Indicates the country that has jurisdiction over or is officially associated with a given UNESCO property.
-
E.
hasCulturalSignificanceFor
Indicates that something holds particular cultural meaning, value, or importance for a specified group or community.
- 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_69f0ef836ac88190bd809dc58b5ec907 |
completed | April 28, 2026, 5:33 p.m. |
| NER | Named-entity recognition | batch_69ff1d85441c8190931e758685a269f7 |
completed | May 9, 2026, 11:41 a.m. |
| PD | Predicate disambiguation | batch_69ff1d186cc48190b315c61e23de6551 |
completed | May 9, 2026, 11:40 a.m. |
Created at: April 28, 2026, 6:10 p.m.