Triple
T585304
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Turin |
E15144
|
entity |
| Predicate | locatedNearRiver |
P165
|
FINISHED |
| Object |
Dora Riparia
Dora Riparia is a river in northwestern Italy that flows through the city of Turin before joining the Po River.
|
E73179
|
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: Dora Riparia | Statement: [Turin, locatedNearRiver, Dora Riparia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dora Riparia Context triple: [Turin, locatedNearRiver, Dora Riparia]
-
A.
Dora
Dora is the given name of Dora Sigerson Shorter, an Irish poet associated with the late 19th- and early 20th-century literary revival.
-
B.
Dora Black
Dora Black was a British author, educator, and feminist best known for her radical views on marriage and sexuality and her influential partnership with philosopher Bertrand Russell.
-
C.
Hilda
Hilda is the middle name of Margaret Thatcher, the former Prime Minister of the United Kingdom.
-
D.
Nana
Nana is an 1880 naturalist novel by Émile Zola that follows the rise and fall of a Parisian courtesan as a critique of Second Empire society.
-
E.
Griffin
Griffin is the fictional surname of the central family in the animated television series "Family Guy," most notably borne by the character Peter Griffin.
- 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: Dora Riparia Triple: [Turin, locatedNearRiver, Dora Riparia]
Generated description
Dora Riparia is a river in northwestern Italy that flows through the city of Turin before joining the Po River.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dora Riparia Target entity description: Dora Riparia is a river in northwestern Italy that flows through the city of Turin before joining the Po River.
-
A.
Dora
Dora is the given name of Dora Sigerson Shorter, an Irish poet associated with the late 19th- and early 20th-century literary revival.
-
B.
Dora Black
Dora Black was a British author, educator, and feminist best known for her radical views on marriage and sexuality and her influential partnership with philosopher Bertrand Russell.
-
C.
Hilda
Hilda is the middle name of Margaret Thatcher, the former Prime Minister of the United Kingdom.
-
D.
Nana
Nana is an 1880 naturalist novel by Émile Zola that follows the rise and fall of a Parisian courtesan as a critique of Second Empire society.
-
E.
Griffin
Griffin is the fictional surname of the central family in the animated television series "Family Guy," most notably borne by the character Peter Griffin.
- 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_69a4935783b8819082b77726ec10cc42 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a49b9874c88190bd1e08d4689ea124 |
completed | March 1, 2026, 8:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a50e25f4e4819081c8973b0f24dec0 |
completed | March 2, 2026, 4:12 a.m. |
| NEDg | Description generation | batch_69a50ea21c54819099975c66b97f97f3 |
completed | March 2, 2026, 4:14 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a50f2e06288190a8ddf49310ee2790 |
completed | March 2, 2026, 4:16 a.m. |
Created at: March 1, 2026, 7:33 p.m.