Triple
T36622717
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Union mark of Sweden and Norway |
E904086
|
entity |
| Predicate | locationOnFlag |
P204968
|
FINISHED |
| Object | canton |
—
|
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: canton | Statement: [Union mark of Sweden and Norway, locationOnFlag, canton]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: locationOnFlag Context triple: [Union mark of Sweden and Norway, locationOnFlag, canton]
-
A.
countryLocated
Indicates that a country is geographically situated within or associated with a specific larger region, territory, or political entity.
-
B.
locationOnField
Indicates the specific position or area that an entity occupies on a defined field or playing surface.
-
C.
countryLocatedIn
Indicates that a country is geographically or politically situated within a specified larger region, territory, or entity.
-
D.
countryOfFlag
Indicates that a given country is the one represented by a specified flag.
-
E.
cityFlagElement
Indicates that something is an element or component depicted on a city’s flag.
- 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_69f76e6ae750819096911e6e2d4d12c5 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_6a037cad051c8190b28b354b89208574 |
completed | May 12, 2026, 7:17 p.m. |
| PD | Predicate disambiguation | batch_6a037a0bf4b88190bdcfae9a14b51f0a |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c82f8c88190bd77a086023ac0e1 |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 3, 2026, 4:11 p.m.