Triple
T32319120
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Europe/Brussels |
E825723
|
entity |
| Predicate | usedForRegion |
P908
|
FINISHED |
| Object | Western Europe |
—
|
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: Western Europe | Statement: [Europe/Brussels, usedForRegion, Western Europe]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedForRegion Context triple: [Europe/Brussels, usedForRegion, Western Europe]
-
A.
usedInRegion
chosen
Indicates that something is utilized or applied within a specific geographic or administrative region.
-
B.
usedRegion
Indicates that an entity operates in, applies to, or is utilized within a specified geographic or administrative region.
-
C.
usedForPeopleOfRegion
Indicates that something is intended to be used by, or is suitable for, people from a specific geographic region.
-
D.
usesRegionType
Indicates that one entity operates within, is configured for, or otherwise makes use of a specified type of region.
-
E.
usedForCountry
Indicates that something is used for, or serves a purpose related to, a specific country.
- 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_69f34912d0c48190bba75770660320e9 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f7cec454a88190a9f3bbee2b856636 |
completed | May 3, 2026, 10:40 p.m. |
| PD | Predicate disambiguation | batch_69f7c8977c288190997a892ec5f756ed |
completed | May 3, 2026, 10:13 p.m. |
Created at: May 1, 2026, 12:46 a.m.