Triple
T24810224
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Guan languages |
E620763
|
entity |
| Predicate | countryPrimaryDistribution |
P55272
|
FINISHED |
| Object | Ghana |
—
|
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: Ghana | Statement: [Guan languages, countryPrimaryDistribution, Ghana]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countryPrimaryDistribution Context triple: [Guan languages, countryPrimaryDistribution, Ghana]
-
A.
secondaryCountryDistribution
Indicates a relationship where something (such as a product, service, or resource) is additionally distributed or made available in a secondary country beyond the primary one.
-
B.
primaryCountryCluster
Indicates that an entity belongs to the main or most representative grouping of countries associated with it.
-
C.
countryOrRegionOfPrevalence
chosen
Indicates the country or geographic region where something (such as a condition, practice, or phenomenon) is most commonly found or occurs most frequently.
-
D.
countryStart
Indicates that an entity marks the beginning or starting point of a country-related extent, boundary, or association.
-
E.
distributionByCountry
Indicates how something is allocated, spread, or categorized according to different countries.
- 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_69e2fabf26bc8190b191faac8f67065b |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f48b9b687881908fd87a2f5fa0b1e7 |
completed | May 1, 2026, 11:16 a.m. |
| PD | Predicate disambiguation | batch_69f48060597c8190a4414e4e4fcb1fec |
completed | May 1, 2026, 10:28 a.m. |
Created at: April 18, 2026, 4:50 a.m.