Triple
T3768200
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | L’Auto |
E82730
|
entity |
| Predicate | nameChangedTo |
P5948
|
FINISHED |
| Object | L’Auto |
E82729
|
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: L’Auto | Statement: [L’Auto, nameChangedTo, L’Auto]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: L’Auto Context triple: [L’Auto, nameChangedTo, L’Auto]
-
A.
L’Auto
chosen
L’Auto was a French sports newspaper best known for creating and organizing the Tour de France.
-
B.
The Rambler
The Rambler is Samuel Johnson’s influential 18th-century periodical of moral and philosophical essays that helped establish his reputation as a leading English man of letters.
-
C.
Bilen
Bilen is a Cushitic language spoken primarily by the Bilen people in central Eritrea.
-
D.
Little Deuce Coupe
"Little Deuce Coupe" is a 1963 hot rod–themed studio album by the Beach Boys that helped define their early car-culture sound.
-
E.
Mercédès
Mercédès is the given name of Mercédès Jellinek, the woman after whom the Mercedes automobile brand was named.
- 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_69ad8b207b0081909d2b48843fbd8795 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adcc2bdf6c819088d3c6ace83ca5ea |
completed | March 8, 2026, 7:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4e5251d2481909f692937271a8013 |
completed | March 14, 2026, 4:33 a.m. |
Created at: March 8, 2026, 3:35 p.m.