Triple
T858814
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Po River |
E18553
|
entity |
| Predicate | hasTributary |
P415
|
FINISHED |
| Object |
Adda
The Adda is a major river in northern Italy that flows through the Lombardy region and contributes significantly to the water system of the Po basin.
|
E104512
|
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: Adda | Statement: [Po River, hasTributary, Adda]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Adda Context triple: [Po River, hasTributary, Adda]
-
A.
Nganasan
The Nganasan are an Indigenous Samoyedic people of northern Siberia, traditionally semi-nomadic reindeer hunters and fishers with a distinct Uralic language and culture.
-
B.
Ballana
Ballana is an important archaeological site in Lower Nubia known for its rich group of royal tumulus graves from the post-Meroitic period.
-
C.
Thari
Thari is a regional dialect of the Sindhi language spoken primarily in the Thar Desert region of Pakistan and India.
-
D.
Ain
Ain is a department in eastern France known for its diverse landscapes, historic towns, and proximity to both the Alps and the Swiss border.
-
E.
Shimsha
Shimsha is a river in southern India that flows through Karnataka and is known for its waterfalls and contribution to the Kaveri river system.
- 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: Adda Triple: [Po River, hasTributary, Adda]
Generated description
The Adda is a major river in northern Italy that flows through the Lombardy region and contributes significantly to the water system of the Po basin.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Adda Target entity description: The Adda is a major river in northern Italy that flows through the Lombardy region and contributes significantly to the water system of the Po basin.
-
A.
Nganasan
The Nganasan are an Indigenous Samoyedic people of northern Siberia, traditionally semi-nomadic reindeer hunters and fishers with a distinct Uralic language and culture.
-
B.
Ballana
Ballana is an important archaeological site in Lower Nubia known for its rich group of royal tumulus graves from the post-Meroitic period.
-
C.
Thari
Thari is a regional dialect of the Sindhi language spoken primarily in the Thar Desert region of Pakistan and India.
-
D.
Ain
Ain is a department in eastern France known for its diverse landscapes, historic towns, and proximity to both the Alps and the Swiss border.
-
E.
Shimsha
Shimsha is a river in southern India that flows through Karnataka and is known for its waterfalls and contribution to the Kaveri river system.
- 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_69a4938bdd3c8190a954a3c11844d9cf |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4ac50e5ec81908ac0c4b7123b4ebb |
completed | March 1, 2026, 9:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a7b8494840819091324bf603ff8d7c |
completed | March 4, 2026, 4:42 a.m. |
| NEDg | Description generation | batch_69a7bc1acf708190aa86cd5eca101966 |
completed | March 4, 2026, 4:59 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a7bc96dd2881909310147292b99023 |
completed | March 4, 2026, 5:01 a.m. |
Created at: March 1, 2026, 7:39 p.m.