Triple
T18873092
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | European Works Council |
E461618
|
entity |
| Predicate | minimumEmployeeThresholdPerCountry |
P133287
|
FINISHED |
| Object | 150 employees in at least two EEA countries |
—
|
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: 150 employees in at least two EEA countries | Statement: [European Works Council, minimumEmployeeThresholdPerCountry, 150 employees in at least two EEA countries]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: minimumEmployeeThresholdPerCountry Context triple: [European Works Council, minimumEmployeeThresholdPerCountry, 150 employees in at least two EEA countries]
-
A.
minimumNumberOfMembers
Indicates the smallest allowable or required number of members that must be present or involved in a given context or group.
-
B.
populationThreshold
Indicates that a population has reached, exceeded, or fallen below a specified numerical limit used as a critical or decision-making boundary.
-
C.
numberOfMinistersLimit
Indicates a constraint specifying the maximum allowable number of ministers in a given context or governing body.
-
D.
typicalPopulationThreshold
Indicates the population level above which a place is typically considered to meet a particular classification or status.
-
E.
minimumSeatsPerState
Indicates the smallest number of seats that must be allocated to each state in a representative body or legislative apportionment.
- 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_69d8dcfb7b9c8190854e7b171b98ea2e |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5c2ab4bb4819086ae98a38dd9b11b |
completed | April 20, 2026, 6:07 a.m. |
| PD | Predicate disambiguation | batch_69e48d22dde8819093b1d963bd673365 |
completed | April 19, 2026, 8:06 a.m. |
| PDg | Predicate description generation | batch_69e49785fd7081909577e90a55df0a35 |
completed | April 19, 2026, 8:51 a.m. |
Created at: April 10, 2026, 11:57 a.m.