Triple
T34133065
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lixhe |
E875480
|
entity |
| Predicate | hasCountryLevel |
P76170
|
FINISHED |
| Object | Belgium |
E364
|
NE 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: Belgium | Statement: [Lixhe, hasCountryLevel, Belgium]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCountryLevel Context triple: [Lixhe, hasCountryLevel, Belgium]
-
A.
hasCountry
Indicates that one entity possesses, is associated with, or is located within a specific country.
-
B.
hasCountrySubdivisionLevel
chosen
Indicates the hierarchical administrative level or tier at which a given country subdivision (such as a state, province, or region) is defined within the country's overall territorial organization.
-
C.
hasCountryContext
Indicates that something is associated with, interpreted within, or relevant to a specific country or national context.
-
D.
hasCountryType
Indicates that an entity is associated with or classified under a specific type or category of country.
-
E.
hasCountryElement
Indicates that something includes, contains, or is composed of one or more country-related components or parts.
- F. None of above.
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_69f349aa33848190a2e6c5e4533c8444 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_6a037c8ae0248190b7e2ce4bf852c22d |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a370da6533c81908acc0fa623bff01b |
completed | June 20, 2026, 10:01 p.m. |
| PD | Predicate disambiguation | batch_6a0379f963908190846d232f386fd98f |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 1, 2026, 1:53 a.m.