Triple
T16570141
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Éder |
E402562
|
entity |
| Predicate | club |
P8194
|
FINISHED |
| Object | Lille OSC |
E100202
|
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: Lille OSC | Statement: [Éder, club, Lille OSC]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lille OSC Context triple: [Éder, club, Lille OSC]
-
A.
Lille OSC
chosen
Lille OSC is a professional French football club based in Lille that competes in Ligue 1 and has won multiple domestic titles.
-
B.
LOSC Lille
LOSC Lille is a professional French football club based in the Lille metropolitan area that competes in Ligue 1 and has won multiple national titles.
-
C.
Racing Club de Lens
Racing Club de Lens is a French professional football club based in the northern city of Lens, known for its passionate fanbase and distinctive red-and-gold colors.
-
D.
Valenciennes FC
Valenciennes FC is a French professional football club based in the city of Valenciennes that has spent much of its history competing in the country’s top two divisions.
-
E.
Amiens SC
Amiens SC is a French professional football club based in the city of Amiens, known for competing in the country’s football league system and representing the Picardy region.
- 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_69d8838648088190acf97ef11fc3f61b |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e359580f548190a21afd148bc22d8d |
completed | April 18, 2026, 10:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a006ee616a0819089b3cdc1da951735 |
completed | May 10, 2026, 11:41 a.m. |
Created at: April 10, 2026, 5:16 a.m.