Triple
T23770787
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | URMO |
E587519
|
entity |
| Predicate | firstLetterRegionScheme |
P153884
|
FINISHED |
| Object | Europe and Northern Asia |
—
|
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: Europe and Northern Asia | Statement: [URMO, firstLetterRegionScheme, Europe and Northern Asia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstLetterRegionScheme Context triple: [URMO, firstLetterRegionScheme, Europe and Northern Asia]
-
A.
firstForRegion
Indicates that something is the earliest or primary instance of its kind within a specified region.
-
B.
firstLetter
Indicates that one entity is the initial character or starting letter of another entity (typically a string or word).
-
C.
firstCharacterRules
Indicates that the entity associated with the first character in a sequence has authority, control, or priority over the others.
-
D.
firstReleaseRegion
Indicates the geographic region or market where something (such as a product, work, or release) was first made publicly available.
-
E.
firstCharacterType
Indicates that the type or category of the first character in a sequence or string has a specified value.
- 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_69e2490d245881909028226a1393d624 |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1c465d7948190a4381e39f792a7b4 |
completed | April 29, 2026, 8:42 a.m. |
| PD | Predicate disambiguation | batch_69f155f79e34819080f9ddb972b34deb |
completed | April 29, 2026, 12:51 a.m. |
| PDg | Predicate description generation | batch_69f15ed138f88190a8ae555422978908 |
completed | April 29, 2026, 1:28 a.m. |
Created at: April 17, 2026, 7:15 p.m.