Triple
T95600
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rhône River |
E1922
|
entity |
| Predicate | cityOnRiver |
P165
|
FINISHED |
| Object | Valence |
E2387
|
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: Valence | Statement: [Rhône River, cityOnRiver, Valence]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Valence Context triple: [Rhône River, cityOnRiver, Valence]
-
A.
Grace
Grace is the central Christian concept of God’s unmerited favor and loving initiative toward humanity, enabling salvation and spiritual transformation.
-
B.
Edge
Edge is Microsoft’s modern web browser designed to be fast, secure, and integrated with the Windows ecosystem and Microsoft services.
-
C.
Nice
chosen
Nice is a prominent Mediterranean coastal city on the French Riviera, known for its mild climate, beaches, and vibrant cultural life.
-
D.
ACE
ACE (Altamont Corridor Express) is a commuter rail service in California’s San Joaquin Valley and East Bay that provides weekday trains between Stockton and San Jose.
-
E.
BEL
BEL is the three-letter ISO 3166-1 alpha-3 country code that uniquely identifies Belgium in international standards and data systems.
- 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_69a24d4862f881908cc8b89d3a78031d |
completed | Feb. 28, 2026, 2:04 a.m. |
| NER | Named-entity recognition | batch_69a256a7957c8190bf9924eff7572b95 |
completed | Feb. 28, 2026, 2:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a262474440819093e075d5a009ee53 |
completed | Feb. 28, 2026, 3:34 a.m. |
Created at: Feb. 28, 2026, 2:09 a.m.