Triple
T95569
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rhône River |
E1922
|
entity |
| Predicate | flowsThrough |
P225
|
FINISHED |
| Object |
Valence
Valence is a historic city in southeastern France known as a key cultural and commercial center in the Drôme department.
|
E8671
|
NE FINISHED |
How this triple was built (4 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, flowsThrough, Valence]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Valence Context triple: [Rhône River, flowsThrough, 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
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. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Valence Triple: [Rhône River, flowsThrough, Valence]
Generated description
Valence is a historic city in southeastern France known as a key cultural and commercial center in the Drôme department.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Valence Target entity description: Valence is a historic city in southeastern France known as a key cultural and commercial center in the Drôme department.
-
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
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. chosen
Provenance (5 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_69a24fd4777c81909ea9b9a6bd4f7ad5 |
completed | Feb. 28, 2026, 2:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a266ed314881908b6e5e7a91930b56 |
completed | Feb. 28, 2026, 3:54 a.m. |
| NEDg | Description generation | batch_69a2677d22cc8190873d775074795a46 |
completed | Feb. 28, 2026, 3:56 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a267e41e148190856aa61cbb0df0ae |
completed | Feb. 28, 2026, 3:58 a.m. |
Created at: Feb. 28, 2026, 2:09 a.m.