Triple
T15941495
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Larecaja Province |
E386574
|
entity |
| Predicate | capital |
P234
|
FINISHED |
| Object |
Sorata
Sorata is a picturesque town in Bolivia’s Andes, known as a gateway to trekking in the Cordillera Real and for its mild climate and scenic mountain views.
|
E1184658
|
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: Sorata | Statement: [Larecaja Province, capital, Sorata]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sorata Context triple: [Larecaja Province, capital, Sorata]
-
A.
Ibusuki
Ibusuki is a coastal city in Kagoshima Prefecture, Japan, best known for its natural hot springs and unique sand bath spas.
-
B.
Saijo
Saijo is a city in Ehime Prefecture on Japan’s Shikoku island, known for its industrial facilities and maritime-related industries.
-
C.
Tsurugizaki
Tsurugizaki was the original name of the Imperial Japanese Navy vessel that was later converted into and commissioned as the light aircraft carrier Shōhō during World War II.
-
D.
Akiruno
Akiruno is a city in western Tokyo, Japan, known for its natural scenery, including rivers, forests, and hiking areas.
-
E.
Tobata
Tobata is a ward in the city of Kitakyushu, Japan, known historically as an independent city and an important industrial and port area in northern Kyushu.
- 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: Sorata Triple: [Larecaja Province, capital, Sorata]
Generated description
Sorata is a picturesque town in Bolivia’s Andes, known as a gateway to trekking in the Cordillera Real and for its mild climate and scenic mountain views.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sorata Target entity description: Sorata is a picturesque town in Bolivia’s Andes, known as a gateway to trekking in the Cordillera Real and for its mild climate and scenic mountain views.
-
A.
Ibusuki
Ibusuki is a coastal city in Kagoshima Prefecture, Japan, best known for its natural hot springs and unique sand bath spas.
-
B.
Saijo
Saijo is a city in Ehime Prefecture on Japan’s Shikoku island, known for its industrial facilities and maritime-related industries.
-
C.
Tsurugizaki
Tsurugizaki was the original name of the Imperial Japanese Navy vessel that was later converted into and commissioned as the light aircraft carrier Shōhō during World War II.
-
D.
Akiruno
Akiruno is a city in western Tokyo, Japan, known for its natural scenery, including rivers, forests, and hiking areas.
-
E.
Tobata
Tobata is a ward in the city of Kitakyushu, Japan, known historically as an independent city and an important industrial and port area in northern Kyushu.
- 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_69d86da750008190987eb26be3f6c118 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e156ce0230819089a20114a755a75a |
completed | April 16, 2026, 9:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffb5bbc07c819098fd768e2e6b5b3e |
completed | May 9, 2026, 10:31 p.m. |
| NEDg | Description generation | batch_69ffb706eb348190baba254656fc0e71 |
completed | May 9, 2026, 10:36 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffb7812bf08190918c1410565633e2 |
completed | May 9, 2026, 10:38 p.m. |
Created at: April 10, 2026, 4:53 a.m.