Triple
T11888894
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FDJ |
E282863
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object | FDJ |
E282863
|
NE 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: FDJ | Statement: [FDJ, abbreviation, FDJ]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: FDJ Context triple: [FDJ, abbreviation, FDJ]
-
A.
FDJ
chosen
FDJ is the abbreviation for the Free German Youth, the former official socialist youth organization in East Germany.
-
B.
FDJ factory groups
FDJ factory groups were workplace-based units of East Germany’s Free German Youth that organized political education, social activities, and ideological mobilization among young industrial and enterprise workers.
-
C.
JDF
JDF is the acronym for the Jamaica Defence Force, the combined military forces responsible for Jamaica’s national defense and security.
-
D.
Amaury Group
Amaury Group is a French media and publishing company best known as the parent company of Amaury Sport Organisation, which organizes major sporting events such as the Tour de France.
-
E.
Fond Parisien
Fond Parisien is a small town in southeastern Haiti near the Dominican border, known for its proximity to Lake Azuei and its role as a local agricultural and trading center.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d6ab2a90b08190a4e818821cc93e6d |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8d3a2860c8190a21af5fcddbd2f1e |
completed | April 10, 2026, 10:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f417e919548190acbc248879f957ec |
completed | May 1, 2026, 3:03 a.m. |
Created at: April 8, 2026, 9:44 p.m.