Triple
T2623523
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FDGB |
E59063
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object |
FDGB
FDGB was the state-controlled trade union federation in East Germany that organized and represented workers under the socialist system.
|
E282867
|
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: FDGB | Statement: [FDGB, shortName, FDGB]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: FDGB Context triple: [FDGB, shortName, FDGB]
-
A.
FGN
FGN is the acronym commonly used to refer to the federal-level governing authority of the Federal Republic of Nigeria.
-
B.
PGFD
PGFD is the fire and emergency medical services agency serving Prince George’s County, Maryland.
-
C.
FED
FED is the commonly used abbreviation for the Fluids Engineering Division, a professional group focused on research and advancements in fluid mechanics and related technologies.
-
D.
DFG
DFG is Germany’s central self-governing research funding organization, supporting scientific and academic research across all disciplines.
-
E.
GDF
GDF is the Global Drug Facility, an international mechanism that supplies quality-assured medicines and diagnostics to support tuberculosis control and treatment programs worldwide.
- 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: FDGB Triple: [FDGB, shortName, FDGB]
Generated description
FDGB was the state-controlled trade union federation in East Germany that organized and represented workers under the socialist system.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: FDGB Target entity description: FDGB was the state-controlled trade union federation in East Germany that organized and represented workers under the socialist system.
-
A.
FGN
FGN is the acronym commonly used to refer to the federal-level governing authority of the Federal Republic of Nigeria.
-
B.
PGFD
PGFD is the fire and emergency medical services agency serving Prince George’s County, Maryland.
-
C.
FED
FED is the commonly used abbreviation for the Fluids Engineering Division, a professional group focused on research and advancements in fluid mechanics and related technologies.
-
D.
DFG
DFG is Germany’s central self-governing research funding organization, supporting scientific and academic research across all disciplines.
-
E.
GDF
GDF is the Global Drug Facility, an international mechanism that supplies quality-assured medicines and diagnostics to support tuberculosis control and treatment programs worldwide.
- 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_69ab4ac558388190962492cd2e1b0ce6 |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abd8af06fc8190ab48d746b8c8892b |
completed | March 7, 2026, 7:50 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af909b7d9881908930a98d004998fb |
completed | March 10, 2026, 3:31 a.m. |
| NEDg | Description generation | batch_69af913e20848190a25c90617df6ea6f |
completed | March 10, 2026, 3:34 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69af91e0ef408190b1ab9cb9f8bbdaca |
completed | March 10, 2026, 3:37 a.m. |
Created at: March 6, 2026, 9:50 p.m.