Triple
T12141380
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Athens, Ohio |
E289189
|
entity |
| Predicate | hasSisterCity |
P919
|
FINISHED |
| Object |
Yundum
Yundum is a town in The Gambia known for its international airport and proximity to the capital, Banjul.
|
E970645
|
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: Yundum | Statement: [Athens, Ohio, hasSisterCity, Yundum]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yundum Context triple: [Athens, Ohio, hasSisterCity, Yundum]
-
A.
Yenda
Yenda is a small rural town in the Riverina region of New South Wales, Australia, known for its agricultural production, particularly viticulture and horticulture.
-
B.
Kunda
Kunda is a small industrial town in northern Estonia known for its cement industry and archaeological significance.
-
C.
Yassa
Yassa was the codified legal and administrative code traditionally attributed to Genghis Khan that governed the Mongol Empire and its successor states.
-
D.
Eyamba
Eyamba is a prominent clan of the Efik people of southeastern Nigeria, historically associated with leadership and influence in the Old Calabar region.
-
E.
Yembana
Yembana is a dialect of the Bulu language, a Bantu language spoken primarily in southern Cameroon.
- 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: Yundum Triple: [Athens, Ohio, hasSisterCity, Yundum]
Generated description
Yundum is a town in The Gambia known for its international airport and proximity to the capital, Banjul.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Yundum Target entity description: Yundum is a town in The Gambia known for its international airport and proximity to the capital, Banjul.
-
A.
Yenda
Yenda is a small rural town in the Riverina region of New South Wales, Australia, known for its agricultural production, particularly viticulture and horticulture.
-
B.
Kunda
Kunda is a small industrial town in northern Estonia known for its cement industry and archaeological significance.
-
C.
Yassa
Yassa was the codified legal and administrative code traditionally attributed to Genghis Khan that governed the Mongol Empire and its successor states.
-
D.
Eyamba
Eyamba is a prominent clan of the Efik people of southeastern Nigeria, historically associated with leadership and influence in the Old Calabar region.
-
E.
Yembana
Yembana is a dialect of the Bulu language, a Bantu language spoken primarily in southern Cameroon.
- 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_69d6ab4c6710819097a9d228382dde43 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d915a9838081909622cc14df2a2582 |
completed | April 10, 2026, 3:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f60a7baee88190a32a5a3cd0b8a326 |
completed | May 2, 2026, 2:30 p.m. |
| NEDg | Description generation | batch_69f60bdb39f48190ad6bc51db6c34163 |
completed | May 2, 2026, 2:36 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f60d4d95288190a46bf0e54afca338 |
completed | May 2, 2026, 2:42 p.m. |
Created at: April 8, 2026, 9:49 p.m.