Triple
T5877256
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NL-NB |
E130656
|
entity |
| Predicate | hasCountryElement |
P67388
|
FINISHED |
| Object | NL |
—
|
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: NL | Statement: [NL-NB, hasCountryElement, NL]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCountryElement Context triple: [NL-NB, hasCountryElement, NL]
-
A.
hasCountry
Indicates that one entity possesses, is associated with, or is located within a specific country.
-
B.
hasCountryContext
Indicates that something is associated with, interpreted within, or relevant to a specific country or national context.
-
C.
includesPresentCountry
Indicates that an entity (such as a region, organization, or grouping) currently contains or encompasses a specified country within its present composition or membership.
-
D.
countryContains
Indicates that a country geographically encompasses or includes a specified location, region, or entity within its borders.
-
E.
hasMajorCountry
Indicates that an entity includes, is associated with, or is primarily represented by a particular major country.
- 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_69c0085523688190bfd487479ce819e6 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0432fea5881909f5c291dd8db6105 |
completed | March 22, 2026, 7:29 p.m. |
| PD | Predicate disambiguation | batch_69c033499ca08190bd26cee5b03f6306 |
completed | March 22, 2026, 6:22 p.m. |
| PDg | Predicate description generation | batch_69c0432f06fc8190bc047d52ffc30d59 |
completed | March 22, 2026, 7:29 p.m. |
Created at: March 22, 2026, 3:57 p.m.