Triple
T9606293
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lango language |
E231978
|
entity |
| Predicate | primaryStatusInUganda |
P89200
|
FINISHED |
| Object | regional 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: regional language | Statement: [Lango language, primaryStatusInUganda, regional language]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryStatusInUganda Context triple: [Lango language, primaryStatusInUganda, regional language]
-
A.
primaryStatus
Indicates the main or most important status assigned to an entity among potentially multiple statuses.
-
B.
statusInGhana
Indicates the legal, social, or official standing or condition an entity holds within the context of Ghana.
-
C.
estatusEnUruguay
Indicates the legal or official status that an entity holds within Uruguay.
-
D.
statusInZimbabwe
Indicates the legal, social, or official standing or condition that an entity holds within the context of Zimbabwe.
-
E.
statusInAngola
Indicates the legal, social, or operational standing or condition that something or someone has within the context of Angola.
- 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_69ca8485a90c819094fe40b42fde9d70 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9a6006d48190adc03306533b9be6 |
completed | April 1, 2026, 10:21 p.m. |
| PD | Predicate disambiguation | batch_69ccd5a6fd2481908efd131e207b8143 |
completed | April 1, 2026, 8:21 a.m. |
| PDg | Predicate description generation | batch_69ccd93fc45c8190a823305e461e581d |
completed | April 1, 2026, 8:37 a.m. |
Created at: March 30, 2026, 8:08 p.m.