Triple
T16460824
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nueva Segovia Department |
E399800
|
entity |
| Predicate | hasMajorCity |
P316
|
FINISHED |
| Object |
Somoto
Somoto is a small city in northern Nicaragua known as the capital of the Somoto Canyon area and a commercial and cultural center of the Nueva Segovia region.
|
E1214899
|
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: Somoto | Statement: [Nueva Segovia Department, hasMajorCity, Somoto]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Somoto Context triple: [Nueva Segovia Department, hasMajorCity, Somoto]
-
A.
Gotō
Gotō is a Japanese surname borne by various notable figures in politics, business, and the arts.
-
B.
Sumoto
Sumoto is a coastal city located on Awaji Island in Japan, known for its hot springs, scenic views of the Seto Inland Sea, and citrus production.
-
C.
Sumio
Sumio is a Japanese physicist best known for his pioneering discovery and characterization of carbon nanotubes.
-
D.
Sugimoto
Sugimoto is a Japanese surname borne by various notable individuals across fields such as art, sports, and academia.
-
E.
Saito
Saito is a Japanese surname commonly borne by notable figures in fields such as politics, sports, and the arts.
- 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: Somoto Triple: [Nueva Segovia Department, hasMajorCity, Somoto]
Generated description
Somoto is a small city in northern Nicaragua known as the capital of the Somoto Canyon area and a commercial and cultural center of the Nueva Segovia region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Somoto Target entity description: Somoto is a small city in northern Nicaragua known as the capital of the Somoto Canyon area and a commercial and cultural center of the Nueva Segovia region.
-
A.
Gotō
Gotō is a Japanese surname borne by various notable figures in politics, business, and the arts.
-
B.
Sumoto
Sumoto is a coastal city located on Awaji Island in Japan, known for its hot springs, scenic views of the Seto Inland Sea, and citrus production.
-
C.
Sumio
Sumio is a Japanese physicist best known for his pioneering discovery and characterization of carbon nanotubes.
-
D.
Sugimoto
Sugimoto is a Japanese surname borne by various notable individuals across fields such as art, sports, and academia.
-
E.
Saito
Saito is a Japanese surname commonly borne by notable figures in fields such as politics, sports, and the arts.
- 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_69d87f2dac988190b74d6e185fa88ba4 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e32d80e66c8190b2b3199efe9cfaa1 |
completed | April 18, 2026, 7:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a004f53aff081909a75de6672f15f0e |
completed | May 10, 2026, 9:26 a.m. |
| NEDg | Description generation | batch_6a0050a0f5b081908417c6062b1f50cc |
completed | May 10, 2026, 9:32 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00517b7b1c819098118fdbe03eb010 |
completed | May 10, 2026, 9:35 a.m. |
Created at: April 10, 2026, 5:10 a.m.