Triple
T16383697
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Benga language |
E397868
|
entity |
| Predicate | statusInEquatorialGuinea |
P123181
|
FINISHED |
| Object | minority language |
—
|
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: minority language | Statement: [Benga language, statusInEquatorialGuinea, minority language]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: statusInEquatorialGuinea Context triple: [Benga language, statusInEquatorialGuinea, minority language]
-
A.
officialStatusInEquatorialGuinea
Indicates that an entity holds an official or formally recognized status within the jurisdiction of Equatorial Guinea.
-
B.
statusInEcuador
Indicates the legal, social, or official condition or standing that an entity has within the context of Ecuador.
-
C.
statusInAngola
Indicates the legal, social, or operational standing or condition that something or someone has within the context of Angola.
-
D.
statusInNamibia
Indicates that an entity holds a particular legal, social, or operational status within the context or jurisdiction of Namibia.
-
E.
statusInGhana
Indicates the legal, social, or official standing or condition an entity holds within the context of Ghana.
- 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_69d87f2880b48190ae1a9673a3bbef80 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e319de83248190b5d43646fa9b6cda |
completed | April 18, 2026, 5:42 a.m. |
| PD | Predicate disambiguation | batch_69e226f94dd48190b7b8e0e983738a67 |
completed | April 17, 2026, 12:26 p.m. |
| PDg | Predicate description generation | batch_69e24555bb6c8190977cf5c5f9149056 |
completed | April 17, 2026, 2:36 p.m. |
Created at: April 10, 2026, 5:08 a.m.