Triple
T33106060
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | German trade unions |
E847192
|
entity |
| Predicate | typicalLevelOfBargaining |
P196929
|
FINISHED |
| Object | sectoral 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: sectoral level | Statement: [German trade unions, typicalLevelOfBargaining, sectoral level]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalLevelOfBargaining Context triple: [German trade unions, typicalLevelOfBargaining, sectoral level]
-
A.
collectiveBargainingLevel
chosen
Indicates the extent or level at which collective bargaining between workers (or their representatives) and employers is organized or conducted.
-
B.
negotiatesBetween
Indicates a relationship where an entity acts as an intermediary to facilitate negotiation or mediation between two other entities.
-
C.
typeOfNegotiation
Indicates the specific kind or category of negotiation process that characterizes the interaction between the involved parties.
-
D.
negotiationDirection
Indicates the direction or flow of a negotiation, specifying which party is initiating or driving the negotiation toward the other.
-
E.
negotiatesOver
Indicates that one entity engages in discussion or bargaining with another entity concerning the terms, conditions, or details of a specific subject or item.
- 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_69f3495686508190b76bf20fa5e00bf7 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_6a037c894b488190bcbec2eccaff4a01 |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379f338b881908e5593e45d764f4d |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 1, 2026, 1:26 a.m.