Triple
T2061217
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ISO 3166-2:LU |
E45793
|
entity |
| Predicate | secondPart |
P30246
|
FINISHED |
| Object | one or more letters identifying the subdivision |
—
|
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: one or more letters identifying the subdivision | Statement: [ISO 3166-2:LU, secondPart, one or more letters identifying the subdivision]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: secondPart Context triple: [ISO 3166-2:LU, secondPart, one or more letters identifying the subdivision]
-
A.
secondPartTitle
Indicates that one entity is the second part of the title of another entity.
-
B.
secondPartFormat
chosen
Indicates that the entity represents the format or structure of the second part or segment of a larger item or sequence.
-
C.
secondPhase
Indicates that an entity is in, or has progressed to, the second phase or stage of a multi-phase process or sequence.
-
D.
secondStage
Indicates that something functions as the subsequent or follow-up stage in a multi-stage process or sequence.
-
E.
secondWord
Indicates that one entity is the second word in sequence immediately following the first entity in a text or utterance.
- 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_69a8891a19508190a12ef1e192308dcb |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abb9d0ecf08190aec20338a6ba9911 |
completed | March 7, 2026, 5:38 a.m. |
| PD | Predicate disambiguation | batch_69abb7ad5a7c8190b92575d6053b3fb7 |
completed | March 7, 2026, 5:29 a.m. |
Created at: March 4, 2026, 7:40 p.m.