Triple
T23257253
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kenema District |
E581905
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object |
Blama
Blama is a town in eastern Sierra Leone located within Kenema District, known as a local commercial and transport center for surrounding rural communities.
|
E1577084
|
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: Blama | Statement: [Kenema District, hasSettlement, Blama]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Blama Context triple: [Kenema District, hasSettlement, Blama]
-
A.
Taghmon
Taghmon is a village in County Wexford, Ireland, known for its historic ecclesiastical roots and rural community character.
-
B.
Yasa'ur
Yasa'ur was a Mongol prince and military leader who played a significant role in the politics and conflicts of the Chagatai Khanate during the early 14th century.
-
C.
Bartangic
Bartangic is an alternative name for the Bartangi language, a Pamir language spoken in the Bartang Valley of Tajikistan.
-
D.
Naubise
Naubise is a small but important town in central Nepal that serves as a key junction and gateway between Kathmandu and the country’s western regions.
-
E.
Garraka
Garraka is the powerful ancient demonic spirit who serves as the primary antagonist threatening New York City in the film "Ghostbusters: Frozen Empire."
- 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: Blama Triple: [Kenema District, hasSettlement, Blama]
Generated description
Blama is a town in eastern Sierra Leone located within Kenema District, known as a local commercial and transport center for surrounding rural communities.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Blama Target entity description: Blama is a town in eastern Sierra Leone located within Kenema District, known as a local commercial and transport center for surrounding rural communities.
-
A.
Taghmon
Taghmon is a village in County Wexford, Ireland, known for its historic ecclesiastical roots and rural community character.
-
B.
Yasa'ur
Yasa'ur was a Mongol prince and military leader who played a significant role in the politics and conflicts of the Chagatai Khanate during the early 14th century.
-
C.
Bartangic
Bartangic is an alternative name for the Bartangi language, a Pamir language spoken in the Bartang Valley of Tajikistan.
-
D.
Naubise
Naubise is a small but important town in central Nepal that serves as a key junction and gateway between Kathmandu and the country’s western regions.
-
E.
Garraka
Garraka is the powerful ancient demonic spirit who serves as the primary antagonist threatening New York City in the film "Ghostbusters: Frozen Empire."
- 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.