Triple
T32100147
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FR-08 |
E819822
|
entity |
| Predicate | firstPartDenotes |
P45286
|
FINISHED |
| Object | country |
—
|
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: country | Statement: [FR-08, firstPartDenotes, country]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstPartDenotes Context triple: [FR-08, firstPartDenotes, country]
-
A.
firstPartRepresents
chosen
Indicates that the initial segment or portion of something stands for, symbolizes, or denotes a larger whole or specific concept.
-
B.
firstPartType
Indicates that one entity is the initial segment or component type within a larger composite or sequence of parts.
-
C.
firstPartValue
Indicates that the subject entity represents the initial or leading portion of a larger value, sequence, or composite data item.
-
D.
firstPartFormat
Indicates that the subject entity is the initial segment or portion in the overall format or structured sequence of something.
-
E.
firstPartTitle
Indicates that one entity is the first part or initial segment of the title of another entity.
- 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_69f34901106881908ea893ad504a08be |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_6a037c894b488190bcbec2eccaff4a01 |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379eaa540819095a1c5d9f3513f9b |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 1, 2026, 12:26 a.m.