Triple
T3807481
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GR20 |
E93042
|
entity |
| Predicate | southernTerminus |
P388
|
FINISHED |
| Object |
Conca
Conca is a small commune in southern Corsica, France, known as a gateway village for hikers on the famous GR20 long-distance trail.
|
E391637
|
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: Conca | Statement: [GR20, southernTerminus, Conca]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Conca Context triple: [GR20, southernTerminus, Conca]
-
A.
Quarracino
Quarracino is an Italian-origin surname most notably associated with Argentine Cardinal Antonio Quarracino.
-
B.
Monfalcone
Monfalcone is an industrial port town in northeastern Italy, known for its major shipbuilding industry and location on the Gulf of Trieste.
-
C.
Maslianico
Maslianico is a small municipality in the Province of Como in Lombardy, northern Italy, located near Lake Como and the Swiss border.
-
D.
Caudini
The Caudini were an ancient Italic people forming one of the principal tribes of the Samnite confederation in southern Italy.
-
E.
Valperga
Valperga is a historical novel by Mary Shelley that reimagines the life and times of the 14th-century Italian warlord Castruccio Castracani through a blend of romance, politics, and philosophical reflection.
- 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: Conca Triple: [GR20, southernTerminus, Conca]
Generated description
Conca is a small commune in southern Corsica, France, known as a gateway village for hikers on the famous GR20 long-distance trail.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Conca Target entity description: Conca is a small commune in southern Corsica, France, known as a gateway village for hikers on the famous GR20 long-distance trail.
-
A.
Quarracino
Quarracino is an Italian-origin surname most notably associated with Argentine Cardinal Antonio Quarracino.
-
B.
Monfalcone
Monfalcone is an industrial port town in northeastern Italy, known for its major shipbuilding industry and location on the Gulf of Trieste.
-
C.
Maslianico
Maslianico is a small municipality in the Province of Como in Lombardy, northern Italy, located near Lake Como and the Swiss border.
-
D.
Caudini
The Caudini were an ancient Italic people forming one of the principal tribes of the Samnite confederation in southern Italy.
-
E.
Valperga
Valperga is a historical novel by Mary Shelley that reimagines the life and times of the 14th-century Italian warlord Castruccio Castracani through a blend of romance, politics, and philosophical reflection.
- 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_69aed96a60088190ab1df8390fffc935 |
completed | March 9, 2026, 2:30 p.m. |
| NER | Named-entity recognition | batch_69aee80b02888190b2d778feef14f576 |
completed | March 9, 2026, 3:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4fb30a61c819096325d7f11d22f89 |
completed | March 14, 2026, 6:07 a.m. |
| NEDg | Description generation | batch_69b4fbd93b1481909f89d807ef870aa7 |
completed | March 14, 2026, 6:10 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b4ffc51bc08190aef4548a351b5604 |
completed | March 14, 2026, 6:27 a.m. |
Created at: March 9, 2026, 3:16 p.m.