Triple
T31680678
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ES-AR |
E808528
|
entity |
| Predicate | codePart1Meaning |
P45286
|
FINISHED |
| Object | country code of Spain |
—
|
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 code of Spain | Statement: [ES-AR, codePart1Meaning, country code of Spain]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: codePart1Meaning Context triple: [ES-AR, codePart1Meaning, country code of Spain]
-
A.
secondPartMeaning
Indicates that something represents the latter or subsequent portion of a larger whole in terms of its meaning or semantic content.
-
B.
configurationCodeMeaning
Indicates the semantic meaning or interpretation associated with a given configuration code.
-
C.
firstPartRepresents
chosen
Indicates that the initial segment or portion of something stands for, symbolizes, or denotes a larger whole or specific concept.
-
D.
hasPart1Code
Indicates that an entity includes or is associated with a specific part identified by a particular code.
-
E.
parameterMeaning
Indicates that one entity specifies the semantic meaning, role, or purpose of a parameter associated with 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_69f348dcf5d48190ac25b1365ae717a8 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6aaf50be08190a2b62a6d881f8aee |
completed | May 3, 2026, 1:55 a.m. |
| PD | Predicate disambiguation | batch_69f6aa20a1588190a53533fc9764efb2 |
completed | May 3, 2026, 1:51 a.m. |
Created at: April 30, 2026, 11:04 p.m.