Triple
T10593152
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Melanesian Pidgin |
E250041
|
entity |
| Predicate | statusInPapuaNewGuinea |
P94812
|
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, statusInPapuaNewGuinea, major lingua franca]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: statusInPapuaNewGuinea Context triple: [Melanesian Pidgin, statusInPapuaNewGuinea, major lingua franca]
-
A.
representedInPapuaNewGuineaBy
Indicates that an entity is officially represented or has its interests carried out in Papua New Guinea by another entity.
-
B.
statusInIndonesia
Indicates the legal, social, or operational standing or condition of an entity specifically within the context of Indonesia.
-
C.
statusInNamibia
Indicates that an entity holds a particular legal, social, or operational status within the context or jurisdiction of Namibia.
-
D.
statusInGhana
Indicates the legal, social, or official standing or condition an entity holds within the context of Ghana.
-
E.
statusOfIndonesia
Indicates the current condition, situation, or standing associated with Indonesia in a given context.
- 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.