Triple
T1198213
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Danish flag |
E25715
|
entity |
| Predicate | etymologyOfName |
P453
|
FINISHED |
| Object | often interpreted as “Danish cloth” or “Danish banner” |
—
|
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: often interpreted as “Danish cloth” or “Danish banner” | Statement: [Danish flag, etymologyOfName, often interpreted as “Danish cloth” or “Danish banner”]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: etymologyOfName Context triple: [Danish flag, etymologyOfName, often interpreted as “Danish cloth” or “Danish banner”]
-
A.
etymologyType
Indicates the specific kind or category of etymological relationship that links a term to its linguistic origin or source.
-
B.
etymology
chosen
Indicates the historical origin and development of a word or term, including its source language and form.
-
C.
etymologyStatus
Indicates the status or reliability classification of an etymological explanation for a term or name.
-
D.
etymologyPossibleMeaning
Indicates a possible or hypothesized meaning that an etymological analysis suggests for a word or term.
-
E.
etymologicalSource
Indicates that one term or name originates from, is derived from, or has its roots in another term or name.
- F. None of above.
Provenance (3 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_69a49429f5ec8190a6a205eb0ae81e5e |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bd9c013c8190822d44d465d60fdb |
completed | March 1, 2026, 10:28 p.m. |
| PD | Predicate disambiguation | batch_69a4bb5d40a08190b7682d8ef8075421 |
completed | March 1, 2026, 10:19 p.m. |
Created at: March 1, 2026, 7:46 p.m.