Triple
T23517652
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flag Day (25 April) |
E574409
|
entity |
| Predicate | honours |
P107
|
FINISHED |
| Object | Merkið |
—
|
NE NERFINISHED |
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: Merkið | Statement: [Flag Day (25 April), honours, Merkið]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Merkið Context triple: [Flag Day (25 April), honours, Merkið]
-
A.
Merkið
chosen
Merkið is the traditional national flag of the Faroe Islands, featuring a red Nordic cross outlined in blue on a white field.
-
B.
Merkin
Merkin is the first name of the fictional U.S. President Merkin Muffley from Stanley Kubrick’s satirical film "Dr. Strangelove or: How I Learned to Stop Worrying and Love the Bomb."
-
C.
Merkens
Merkens is a German surname most notably associated with Olympic track cyclist Toni Merkens.
-
D.
Merksem
Merksem is a northern district of the Belgian city of Antwerp, known as a predominantly residential area with local commerce and sports facilities.
-
E.
Merkys
Merkys is a river in Lithuania and Belarus that serves as one of the principal tributaries of the Neman (Niemen) River.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e245bb3dcc8190ba9a2b35972b58d0 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1aa83c538819096bc548e3e0ddbd0 |
completed | April 29, 2026, 6:51 a.m. |
Created at: April 17, 2026, 6:08 p.m.