Triple
T10593154
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Melanesian Pidgin |
E250041
|
entity |
| Predicate | statusInVanuatu |
P94814
|
FINISHED |
| Object | major 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: major lingua franca | Statement: [Melanesian Pidgin, statusInVanuatu, major lingua franca]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: statusInVanuatu Context triple: [Melanesian Pidgin, statusInVanuatu, major lingua franca]
-
A.
statusInSaintLucia
Indicates the legal, social, or official standing or condition that an entity holds within the jurisdiction of Saint Lucia.
-
B.
statusInSuriname
Indicates the legal, social, or official standing or condition that an entity holds within the context of Suriname.
-
C.
statusInDominica
Indicates that an entity holds a particular legal, social, or official status within the jurisdiction of Dominica.
-
D.
statusInSintMaarten
Indicates the legal, social, or official standing or condition that an entity has within the jurisdiction of Sint Maarten.
-
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_69d381c9d3d48190a29ee491e1696a0e |
completed | April 6, 2026, 9:50 a.m. |
| NER | Named-entity recognition | batch_69d5277da8048190add007ca0c37253e |
completed | April 7, 2026, 3:49 p.m. |
| PD | Predicate disambiguation | batch_69d51907b2b881908ab9a8594688ee06 |
completed | April 7, 2026, 2:47 p.m. |
| PDg | Predicate description generation | batch_69d5270eca0481908573b698390c5b08 |
completed | April 7, 2026, 3:47 p.m. |
Created at: April 6, 2026, 12:40 p.m.