Triple
T3441586
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gutnish |
E72575
|
entity |
| Predicate | statusInSweden |
P48821
|
FINISHED |
| Object | regional variety of Swedish |
—
|
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 variety of Swedish | Statement: [Gutnish, statusInSweden, regional variety of Swedish]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: statusInSweden Context triple: [Gutnish, statusInSweden, regional variety of Swedish]
-
A.
status
Indicates the current condition, state, or standing of an entity within a given context.
-
B.
statusInRepublicOfIreland
Indicates the legal or official status that an entity holds within the jurisdiction of the Republic of Ireland.
-
C.
statusInUnitedStates
Indicates the legal or official standing that an entity holds within the jurisdiction of the United States.
-
D.
statusInUK
Indicates the legal or official status that an entity holds within the United Kingdom (e.g., immigration, residency, or authorization category).
-
E.
statusInFrance
Indicates the legal, social, or official standing or condition that an entity has within the jurisdiction of France.
- 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_69ad85af50288190a854b76653deee6f |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adba276b708190949f294a8d09ec7b |
completed | March 8, 2026, 6:04 p.m. |
| PD | Predicate disambiguation | batch_69adae0255b48190a9069f7871c7a012 |
completed | March 8, 2026, 5:12 p.m. |
| PDg | Predicate description generation | batch_69adb1ecb02881908394f197e31431b4 |
completed | March 8, 2026, 5:29 p.m. |
Created at: March 8, 2026, 3:16 p.m.