Triple
T4694622
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | IndustriALL European Trade Union |
E104112
|
entity |
| Predicate | levelOfOperation |
P6851
|
FINISHED |
| Object | European level |
—
|
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: European level | Statement: [IndustriALL European Trade Union, levelOfOperation, European level]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: levelOfOperation Context triple: [IndustriALL European Trade Union, levelOfOperation, European level]
-
A.
automationLevel
Indicates the degree to which a process, task, or system is performed automatically rather than manually.
-
B.
operationOf
Indicates that one entity is the function, activity, or process carried out by another entity (such as a system, device, or organization).
-
C.
operationalScope
chosen
Indicates the range, extent, or boundaries within which an entity, process, or activity is authorized or designed to operate.
-
D.
operationScale
Indicates the relative size, scope, or magnitude at which an operation or activity is conducted.
-
E.
operationalRange
Indicates the span of conditions (such as distance, time, or environment) within which a system, device, or process can function effectively and safely.
- 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_69bd43df91f481908e9add1b617b60ef |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd66059bfc8190885d26d05dd38df1 |
completed | March 20, 2026, 3:21 p.m. |
| PD | Predicate disambiguation | batch_69bd6219da948190bbbb50f08573ab4d |
completed | March 20, 2026, 3:04 p.m. |
Created at: March 20, 2026, 1:17 p.m.