Triple
T6318151
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eastern Region |
E141665
|
entity |
| Predicate | containsTown |
P847
|
FINISHED |
| Object |
Aburi
Aburi is a scenic hill town in Ghana known for its cool climate, botanical gardens, and views over the Accra plains.
|
E583500
|
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: Aburi | Statement: [Eastern Region, containsTown, Aburi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aburi Context triple: [Eastern Region, containsTown, Aburi]
-
A.
Yabu
Yabu is a small city in northern Hyōgo Prefecture, Japan, known for its rural landscapes, hot springs, and access to mountainous outdoor recreation.
-
B.
Azabu
Azabu is an upscale residential and entertainment district in central Tokyo known for its embassies, international community, and trendy dining and nightlife.
-
C.
Izumiotsu
Izumiotsu is a coastal city in Osaka Prefecture, Japan, known for its port facilities and industrial waterfront along Osaka Bay.
-
D.
Miyazya
Miyazya is one of the spring months in the Ethiopian calendar, roughly corresponding to April in the Gregorian calendar.
-
E.
Inoniya
Inoniya is a work by the renowned Russian poet Sergei Yesenin, reflecting his lyrical and often melancholic style rooted in rural life and emotional introspection.
- 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: Aburi Triple: [Eastern Region, containsTown, Aburi]
Generated description
Aburi is a scenic hill town in Ghana known for its cool climate, botanical gardens, and views over the Accra plains.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Aburi Target entity description: Aburi is a scenic hill town in Ghana known for its cool climate, botanical gardens, and views over the Accra plains.
-
A.
Yabu
Yabu is a small city in northern Hyōgo Prefecture, Japan, known for its rural landscapes, hot springs, and access to mountainous outdoor recreation.
-
B.
Azabu
Azabu is an upscale residential and entertainment district in central Tokyo known for its embassies, international community, and trendy dining and nightlife.
-
C.
Izumiotsu
Izumiotsu is a coastal city in Osaka Prefecture, Japan, known for its port facilities and industrial waterfront along Osaka Bay.
-
D.
Miyazya
Miyazya is one of the spring months in the Ethiopian calendar, roughly corresponding to April in the Gregorian calendar.
-
E.
Inoniya
Inoniya is a work by the renowned Russian poet Sergei Yesenin, reflecting his lyrical and often melancholic style rooted in rural life and emotional introspection.
- 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_69c008d13b8c8190be47d896eb735605 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c064c38fe48190a71a4e5e1af19b10 |
completed | March 22, 2026, 9:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c5e47ecea08190828af72d30d69a8c |
completed | March 27, 2026, 1:59 a.m. |
| NEDg | Description generation | batch_69c5e65cb59c8190a6c43dfcf3da7334 |
completed | March 27, 2026, 2:07 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c5e723fbd08190b41d3089e4af117e |
completed | March 27, 2026, 2:10 a.m. |
Created at: March 22, 2026, 4:29 p.m.