Triple
T10294507
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Loja |
E241447
|
entity |
| Predicate | administrativeDivision |
P747
|
FINISHED |
| Object |
Loja Canton
Loja Canton is an administrative subdivision in southern Ecuador that encompasses the city of Loja and its surrounding areas.
|
E855928
|
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: Loja Canton | Statement: [Loja, administrativeDivision, Loja Canton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Loja Canton Context triple: [Loja, administrativeDivision, Loja Canton]
-
A.
Daguan
Daguan was a Chinese imperial era name used during the reign of Emperor Huizong of the Song dynasty.
-
B.
Zao Town
Zao Town is a rural Japanese town known for its hot springs, ski resorts, and scenic volcanic landscapes in northeastern Honshu.
-
C.
Butuan City
Butuan City is a highly urbanized and historically significant city in the Caraga region of Mindanao in the Philippines, known as a commercial hub and an important archaeological and cultural center.
-
D.
Pujiang Town
Pujiang Town is a suburban township in Shanghai, China, known for its residential communities and connectivity via the Pujiang Line of the city’s metro system.
-
E.
Xinzhuang
Xinzhuang is a major suburban town and transportation hub in Shanghai, China, known for its busy commercial areas and key metro and rail connections.
- 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: Loja Canton Triple: [Loja, administrativeDivision, Loja Canton]
Generated description
Loja Canton is an administrative subdivision in southern Ecuador that encompasses the city of Loja and its surrounding areas.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Loja Canton Target entity description: Loja Canton is an administrative subdivision in southern Ecuador that encompasses the city of Loja and its surrounding areas.
-
A.
Daguan
Daguan was a Chinese imperial era name used during the reign of Emperor Huizong of the Song dynasty.
-
B.
Zao Town
Zao Town is a rural Japanese town known for its hot springs, ski resorts, and scenic volcanic landscapes in northeastern Honshu.
-
C.
Butuan City
Butuan City is a highly urbanized and historically significant city in the Caraga region of Mindanao in the Philippines, known as a commercial hub and an important archaeological and cultural center.
-
D.
Pujiang Town
Pujiang Town is a suburban township in Shanghai, China, known for its residential communities and connectivity via the Pujiang Line of the city’s metro system.
-
E.
Xinzhuang
Xinzhuang is a major suburban town and transportation hub in Shanghai, China, known for its busy commercial areas and key metro and rail connections.
- 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_69d381aaafc08190af475ef58dc16aba |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d2d5e0f88190be3e23ba2511a1e9 |
completed | April 7, 2026, 9:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d71d1c180481909ca9983e14cbb931 |
completed | April 9, 2026, 3:29 a.m. |
| NEDg | Description generation | batch_69d73182d7548190ac15093aa7001db7 |
completed | April 9, 2026, 4:56 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d7336c06308190ac72154134a26842 |
completed | April 9, 2026, 5:04 a.m. |
Created at: April 6, 2026, 11:42 a.m.