Triple
T22638207
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cinca |
E558738
|
entity |
| Predicate | hasTributary |
P415
|
FINISHED |
| Object |
Vero
Vero is a river in northeastern Spain that flows through the province of Huesca and is known for its scenic canyons and prehistoric cave art sites.
|
E1546987
|
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: Vero | Statement: [Cinca, hasTributary, Vero]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vero Context triple: [Cinca, hasTributary, Vero]
-
A.
Vero
Vero is the official tax authority of Finland responsible for administering and collecting taxes and enforcing tax legislation nationwide.
-
B.
Verri
Verri is an Italian surname most notably associated with the 18th-century Milanese intellectual family that included writer and jurist Alessandro Verri.
-
C.
Vosso
Vosso is a river in western Norway known for flowing through Voss municipality and contributing to the region’s scenic fjord landscape.
-
D.
Evessa
Evessa is a professional basketball team based in Osaka, Japan, competing in the B.League.
-
E.
Vernio
Vernio is a municipality in the Province of Prato in Tuscany, central Italy, known for its historic hilltop villages and Apennine landscape.
- 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: Vero Triple: [Cinca, hasTributary, Vero]
Generated description
Vero is a river in northeastern Spain that flows through the province of Huesca and is known for its scenic canyons and prehistoric cave art sites.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Vero Target entity description: Vero is a river in northeastern Spain that flows through the province of Huesca and is known for its scenic canyons and prehistoric cave art sites.
-
A.
Vero
Vero is the official tax authority of Finland responsible for administering and collecting taxes and enforcing tax legislation nationwide.
-
B.
Verri
Verri is an Italian surname most notably associated with the 18th-century Milanese intellectual family that included writer and jurist Alessandro Verri.
-
C.
Vosso
Vosso is a river in western Norway known for flowing through Voss municipality and contributing to the region’s scenic fjord landscape.
-
D.
Evessa
Evessa is a professional basketball team based in Osaka, Japan, competing in the B.League.
-
E.
Vernio
Vernio is a municipality in the Province of Prato in Tuscany, central Italy, known for its historic hilltop villages and Apennine landscape.
- 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_69e24547f7fc819086e2c4ba3b979657 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1700f9fac8190b82190a54be22413 |
completed | April 29, 2026, 2:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0b585cf2388190b517312dc6172025 |
completed | May 18, 2026, 6:20 p.m. |
| NEDg | Description generation | batch_6a0b6f5d272c8190bf66fa372fb2bb7d |
completed | May 18, 2026, 7:58 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0b7072e43c8190ad8f8d09f61d3f7b |
completed | May 18, 2026, 8:02 p.m. |
Created at: April 17, 2026, 3:04 p.m.