Triple
T12397686
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AJ Auxerre |
E296159
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object | AJA |
E296159
|
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: AJA | Statement: [AJ Auxerre, nickname, AJA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: AJA Context triple: [AJ Auxerre, nickname, AJA]
-
A.
AJA
chosen
AJA is a French professional football club based in Auxerre, known for its strong youth academy and history in Ligue 1 and European competitions.
-
B.
AJA
AJA is the IATA airport code for Ajaccio Napoleon Bonaparte Airport, the main air gateway to the city of Ajaccio on the French island of Corsica.
-
C.
Aja
Aja is a king of the Ikshvaku dynasty in Hindu tradition, known as the father of Dasharatha and grandfather of Lord Rama.
-
D.
Aja
Aja is a West African ethnic group and historical kingdom centered in present-day Benin and Togo, known for its significant influence on the culture and formation of neighboring Fon and Ewe peoples.
-
E.
Aja
Aja is a critically acclaimed 1977 jazz-rock fusion album by the American band Steely Dan, known for its sophisticated production and complex arrangements.
- 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_69d6ad9e653c8190b1473c860ee53dae |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d93fd448f08190af425a569d7ed158 |
completed | April 10, 2026, 6:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f63efc0c7081909fe7d1818a081684 |
completed | May 2, 2026, 6:14 p.m. |
Created at: April 8, 2026, 9:54 p.m.