Triple
T12792207
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | canton of Romans-sur-Isère |
E305795
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Alixan |
E801758
|
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: Alixan | Statement: [canton of Romans-sur-Isère, contains, Alixan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alixan Context triple: [canton of Romans-sur-Isère, contains, Alixan]
-
A.
Alixan
chosen
Alixan is a commune in southeastern France, near Valence in the Drôme department, known for hosting the Valence TGV high-speed rail station.
-
B.
Arlanxeo
Arlanxeo is a global synthetic rubber company specializing in high-performance elastomer products for the automotive, construction, and industrial sectors.
-
C.
Azaire
Azaire is a French surname notably associated with the character Isabelle Azaire from Sebastian Faulks’s novel "Birdsong."
-
D.
Axura
Axura is a brand-name medication containing memantine, commonly prescribed to treat moderate to severe Alzheimer's disease by helping regulate abnormal activity of the neurotransmitter glutamate in the brain.
-
E.
Aylett
Aylett is an English-language surname borne by various individuals, including historical and contemporary figures.
- 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_69d7bdf366888190a8cccb982606889c |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96e6b55248190ab938e69eb263612 |
completed | April 10, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f68ebeab2081908a6e38351613e3ed |
completed | May 2, 2026, 11:54 p.m. |
Created at: April 9, 2026, 5:30 p.m.