Triple
T16642775
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gilbert Romme |
E404383
|
entity |
| Predicate | placeOfBirth |
P1
|
FINISHED |
| Object | Riom |
E174959
|
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: Riom | Statement: [Gilbert Romme, placeOfBirth, Riom]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Riom Context triple: [Gilbert Romme, placeOfBirth, Riom]
-
A.
Riom
chosen
Riom is a historic town in central France known for its preserved medieval architecture and role as a former capital of the Auvergne region.
-
B.
Barisien
A Barisien is a resident or native of the French town of Bar-le-Duc in the Grand Est region.
-
C.
Marseille
Marseille is a historic Mediterranean port city in southern France known for its diverse culture, maritime heritage, and role as a major economic hub.
-
D.
Vichy
Vichy is a spa town in central France renowned for its thermal springs, health resorts, and role as the seat of the World War II Vichy regime.
-
E.
Garches
Garches is a suburban commune in the western outskirts of Paris, France, known for its residential character and proximity to major Parisian business districts.
- 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_69d8838a41f08190b0c3f79c47df5078 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37ad27b5481908316b4f23fb8bc32 |
completed | April 18, 2026, 12:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0084bd1b648190b6189533dcd7b9ac |
completed | May 10, 2026, 1:14 p.m. |
Created at: April 10, 2026, 5:18 a.m.