Triple
T9443711
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hassaniya Arabic |
E227709
|
entity |
| Predicate | statusInMauritania |
P88222
|
FINISHED |
| Object | de facto national lingua franca |
—
|
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: de facto national lingua franca | Statement: [Hassaniya Arabic, statusInMauritania, de facto national lingua franca]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: statusInMauritania Context triple: [Hassaniya Arabic, statusInMauritania, de facto national lingua franca]
-
A.
statusInMali
Indicates the legal, social, or official condition or standing that an entity holds within the context of Mali.
-
B.
statusInBurkinaFaso
Indicates the legal, social, or official condition or standing that an entity has within the context of Burkina Faso.
-
C.
statusInNamibia
Indicates that an entity holds a particular legal, social, or operational status within the context or jurisdiction of Namibia.
-
D.
scriptStatusInMorocco
Indicates the status or condition of a script as it exists or is used within the context of Morocco.
-
E.
statusInEgypt
Indicates the legal, social, or official condition or standing that an entity holds specifically within the context of Egypt.
- 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_69ca843884488190ad6cbe0153088234 |
completed | March 30, 2026, 2:10 p.m. |
| NER | Named-entity recognition | batch_69cd7f3171248190b92ab990371e63f5 |
completed | April 1, 2026, 8:25 p.m. |
| PD | Predicate disambiguation | batch_69cca5596ffc819097e9c8eefd4ef9b8 |
completed | April 1, 2026, 4:55 a.m. |
| PDg | Predicate description generation | batch_69cca89d0f0c8190b4528990fe708fca |
completed | April 1, 2026, 5:09 a.m. |
Created at: March 30, 2026, 7:51 p.m.