Triple
T37212253
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Swazi people |
E922637
|
entity |
| Predicate | historicalNameOfCountry |
P33813
|
FINISHED |
| Object | Swaziland |
—
|
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: Swaziland | Statement: [Swazi people, historicalNameOfCountry, Swaziland]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: historicalNameOfCountry Context triple: [Swazi people, historicalNameOfCountry, Swaziland]
-
A.
previousNameOfCountry
chosen
Indicates that one country name was formerly used as the official name of another country.
-
B.
laterNameOfCountry
Indicates that the referenced entity is a later or subsequent name adopted by a country that previously had a different name.
-
C.
historicalNameGivenBy
Indicates that one entity is the name historically assigned to another entity by a specific source, culture, or period.
-
D.
regionHistoricalName
Indicates that a region has been known by a particular historical name during some past period.
-
E.
countryBefore1940
Indicates that the specified country existed or was recognized as such prior to the year 1940.
- 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_69f76ea6f5288190b8d9988f613811c0 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_6a0191d96dc88190ac0823e534f9d704 |
completed | May 11, 2026, 8:22 a.m. |
| PD | Predicate disambiguation | batch_6a01908110448190a46442ffe4d15f5f |
completed | May 11, 2026, 8:17 a.m. |
Created at: May 3, 2026, 4:15 p.m.