Triple
T37102076
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Northern Swati |
E918730
|
entity |
| Predicate | isVarietyOfLanguageWithOfficialStatusIn |
P187147
|
FINISHED |
| Object | Eswatini |
—
|
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: Eswatini | Statement: [Northern Swati, isVarietyOfLanguageWithOfficialStatusIn, Eswatini]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isVarietyOfLanguageWithOfficialStatusIn Context triple: [Northern Swati, isVarietyOfLanguageWithOfficialStatusIn, Eswatini]
-
A.
hasNotableLanguageWithOfficialStatusIn
Indicates that a language holds an officially recognized and notable status within a specified jurisdiction or region.
-
B.
countryOfficialLanguageStatus
Indicates the status or role that a particular language holds as an official language within a given country.
-
C.
isOfficialMinorityLanguageIn
Indicates that a language has formal, legally recognized minority-language status within a specified political or geographic entity.
-
D.
isVarietyOfLanguageWithOfficialStatusInSwitzerland
Indicates that a language variety holds official status as one of the recognized languages in Switzerland.
-
E.
hasLanguageOfficial
Indicates that a language holds official status within a given entity, such as a country, region, or organization.
- F. None of above. chosen
Provenance (4 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_69f76e9b99c8819096164b21ff5bd996 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fb344c60f8819090f2e21e1e61d621 |
completed | May 6, 2026, 12:30 p.m. |
| PD | Predicate disambiguation | batch_69fb2f642db08190b562725502c74ea6 |
completed | May 6, 2026, 12:09 p.m. |
| PDg | Predicate description generation | batch_69fb344ba5408190a6fe8face293d88b |
completed | May 6, 2026, 12:30 p.m. |
Created at: May 3, 2026, 4:14 p.m.