Triple
T23257192
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bo District |
E581904
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object |
Tikonko
Tikonko is a town and chiefdom center in southern Sierra Leone, known for its rural communities and agricultural activities within Bo District.
|
E1577075
|
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: Tikonko | Statement: [Bo District, hasSettlement, Tikonko]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tikonko Context triple: [Bo District, hasSettlement, Tikonko]
-
A.
Essentuki
Essentuki is a Russian spa town in the North Caucasus renowned for its mineral springs and health resorts.
-
B.
Tsalka
Tsalka is a town in southern Georgia known for its ethnically diverse population and its location near the Tsalka Reservoir in the Kvemo Kartli region.
-
C.
Tiksi
Tiksi is a remote Arctic settlement in northern Russia that serves as an important seaport and gateway on the Laptev Sea.
-
D.
Tecka
Tecka is a small town in the Chubut Province of Argentine Patagonia, serving as a local hub along regional road networks.
-
E.
Kioni
Kioni is a picturesque seaside village on the Greek island of Ithaca, known for its traditional architecture and scenic harbor.
- 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: Tikonko Triple: [Bo District, hasSettlement, Tikonko]
Generated description
Tikonko is a town and chiefdom center in southern Sierra Leone, known for its rural communities and agricultural activities within Bo District.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tikonko Target entity description: Tikonko is a town and chiefdom center in southern Sierra Leone, known for its rural communities and agricultural activities within Bo District.
-
A.
Essentuki
Essentuki is a Russian spa town in the North Caucasus renowned for its mineral springs and health resorts.
-
B.
Tsalka
Tsalka is a town in southern Georgia known for its ethnically diverse population and its location near the Tsalka Reservoir in the Kvemo Kartli region.
-
C.
Tiksi
Tiksi is a remote Arctic settlement in northern Russia that serves as an important seaport and gateway on the Laptev Sea.
-
D.
Tecka
Tecka is a small town in the Chubut Province of Argentine Patagonia, serving as a local hub along regional road networks.
-
E.
Kioni
Kioni is a picturesque seaside village on the Greek island of Ithaca, known for its traditional architecture and scenic harbor.
- 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_69e246079f58819085eaa9c260906880 |
completed | April 17, 2026, 2:39 p.m. |
| NER | Named-entity recognition | batch_69f194c5f5bc8190ac8776f7f7430209 |
completed | April 29, 2026, 5:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c3f6be3ec8190be316ae03c3b3729 |
completed | May 19, 2026, 10:46 a.m. |
| NEDg | Description generation | batch_6a0c40297d3c8190b366b60cec3dbbf8 |
completed | May 19, 2026, 10:49 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0c40ffd67481908931ffc2d91fb02b |
completed | May 19, 2026, 10:52 a.m. |
Created at: April 17, 2026, 4:11 p.m.