Triple
T19127027
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Austrian Trade Union Federation |
E468208
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
GdG-KMSfB
GdG-KMSfB is an Austrian trade union representing public sector and municipal employees within the Austrian Trade Union Federation.
|
E1359661
|
NE FINISHED |
How this triple was built (4 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: GdG-KMSfB | Statement: [Austrian Trade Union Federation, hasPart, GdG-KMSfB]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: GdG-KMSfB Context triple: [Austrian Trade Union Federation, hasPart, GdG-KMSfB]
-
A.
GdF
GdF is the commonly used abbreviation for Italy’s Guardia di Finanza, a militarized police force responsible for financial crime, smuggling, and border control.
-
B.
DGF
DGF is the vehicle registration code used for the Dingolfing-Landau district in Bavaria, Germany.
-
C.
FhG
FhG is the abbreviation for the Fraunhofer Society, a leading German organization for applied research and development.
-
D.
DFG
DFG is Germany’s central self-governing research funding organization, supporting scientific and academic research across all disciplines.
-
E.
DFG
DFG is the Massachusetts state agency responsible for conserving and managing fish, wildlife, and related natural resources.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: GdG-KMSfB Triple: [Austrian Trade Union Federation, hasPart, GdG-KMSfB]
Generated description
GdG-KMSfB is an Austrian trade union representing public sector and municipal employees within the Austrian Trade Union Federation.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: GdG-KMSfB Target entity description: GdG-KMSfB is an Austrian trade union representing public sector and municipal employees within the Austrian Trade Union Federation.
-
A.
GdF
GdF is the commonly used abbreviation for Italy’s Guardia di Finanza, a militarized police force responsible for financial crime, smuggling, and border control.
-
B.
DGF
DGF is the vehicle registration code used for the Dingolfing-Landau district in Bavaria, Germany.
-
C.
FhG
FhG is the abbreviation for the Fraunhofer Society, a leading German organization for applied research and development.
-
D.
DFG
DFG is Germany’s central self-governing research funding organization, supporting scientific and academic research across all disciplines.
-
E.
DFG
DFG is the Massachusetts state agency responsible for conserving and managing fish, wildlife, and related natural resources.
- F. None of above. chosen
Provenance (5 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_69d8dd0796a48190b34ce4cd9d3f3be5 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e3cd851081909d5665b362ae08de |
completed | April 20, 2026, 8:29 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a05e67b296c81909818a4c71380fa98 |
completed | May 14, 2026, 3:12 p.m. |
| NEDg | Description generation | batch_6a05e9aaa85c81909bdc81145d415716 |
completed | May 14, 2026, 3:26 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a05ea46a9588190846c5a1b8f2bfc12 |
completed | May 14, 2026, 3:29 p.m. |
Created at: April 10, 2026, 12:05 p.m.