Triple
T9554898
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Enns |
E230515
|
entity |
| Predicate | hasMajorTributary |
P415
|
FINISHED |
| Object |
Salza
The Salza is a river in Austria known for its clear waters and scenic gorges, popular for whitewater sports and flowing into the Enns River.
|
E807411
|
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: Salza | Statement: [Enns, hasMajorTributary, Salza]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Salza Context triple: [Enns, hasMajorTributary, Salza]
-
A.
Silba
Silba is a small Croatian island in the Adriatic Sea known for its car-free environment, tranquil beaches, and picturesque village atmosphere.
-
B.
Salcha
Salcha is a small unincorporated community in interior Alaska, known for its rural setting along the Tanana River southeast of Fairbanks.
-
C.
Lizzano
Lizzano is a town and comune in the Apulia region of southern Italy, known for its wine production and proximity to the Ionian coast.
-
D.
Dulcedo
Dulcedo is a Latin term meaning "sweetness" or "delight," often used in Christian liturgical and devotional texts to express spiritual consolation and joy.
-
E.
Narón
Narón is a municipality in the province of A Coruña in Galicia, northwestern Spain, known for its close ties to the nearby city of Ferrol and its role in the region’s industrial and service economy.
- 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: Salza Triple: [Enns, hasMajorTributary, Salza]
Generated description
The Salza is a river in Austria known for its clear waters and scenic gorges, popular for whitewater sports and flowing into the Enns River.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Salza Target entity description: The Salza is a river in Austria known for its clear waters and scenic gorges, popular for whitewater sports and flowing into the Enns River.
-
A.
Silba
Silba is a small Croatian island in the Adriatic Sea known for its car-free environment, tranquil beaches, and picturesque village atmosphere.
-
B.
Salcha
Salcha is a small unincorporated community in interior Alaska, known for its rural setting along the Tanana River southeast of Fairbanks.
-
C.
Lizzano
Lizzano is a town and comune in the Apulia region of southern Italy, known for its wine production and proximity to the Ionian coast.
-
D.
Dulcedo
Dulcedo is a Latin term meaning "sweetness" or "delight," often used in Christian liturgical and devotional texts to express spiritual consolation and joy.
-
E.
Narón
Narón is a municipality in the province of A Coruña in Galicia, northwestern Spain, known for its close ties to the nearby city of Ferrol and its role in the region’s industrial and service economy.
- 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_69ca847d3be8819099c9dad2a7e786f1 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd992412148190b092bd9918764d5f |
completed | April 1, 2026, 10:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1528bd99881909e3f51472a99917f |
completed | April 4, 2026, 6:03 p.m. |
| NEDg | Description generation | batch_69d156a5b65c8190a7c7616b6df6c181 |
completed | April 4, 2026, 6:21 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d15740036c8190ada8ccf59c1436d9 |
completed | April 4, 2026, 6:24 p.m. |
Created at: March 30, 2026, 8:03 p.m.