Triple
T23257830
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ahmad Tejan Kabbah |
E581918
|
entity |
| Predicate | placeOfBirth |
P1
|
FINISHED |
| Object |
Pendembu
Pendembu is a town in eastern Sierra Leone, known as the birthplace of former President Ahmad Tejan Kabbah.
|
E1577114
|
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: Pendembu | Statement: [Ahmad Tejan Kabbah, placeOfBirth, Pendembu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pendembu Context triple: [Ahmad Tejan Kabbah, placeOfBirth, Pendembu]
-
A.
Menglembu
Menglembu is a town in Perak, Malaysia, best known for its production of roasted groundnuts and its location near the city of Ipoh.
-
B.
Sengkuni
Sengkuni is a cunning and manipulative character in Javanese adaptations of the Mahabharata, often portrayed as a scheming advisor who fuels conflict and deceit.
-
C.
Pangcah
Pangcah is the self-designation of the Amis, one of the largest Indigenous Austronesian peoples of Taiwan, known for their distinct language and rich cultural traditions.
-
D.
Gadong
Gadong is a major commercial and entertainment hub in Brunei, known for its shopping centers, markets, and vibrant urban activity.
-
E.
Bantia
Bantia was an ancient Oscan-speaking city in southern Italy, notable for yielding important inscriptions that illuminate the Oscan language and Italic legal traditions.
- 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: Pendembu Triple: [Ahmad Tejan Kabbah, placeOfBirth, Pendembu]
Generated description
Pendembu is a town in eastern Sierra Leone, known as the birthplace of former President Ahmad Tejan Kabbah.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Pendembu Target entity description: Pendembu is a town in eastern Sierra Leone, known as the birthplace of former President Ahmad Tejan Kabbah.
-
A.
Menglembu
Menglembu is a town in Perak, Malaysia, best known for its production of roasted groundnuts and its location near the city of Ipoh.
-
B.
Sengkuni
Sengkuni is a cunning and manipulative character in Javanese adaptations of the Mahabharata, often portrayed as a scheming advisor who fuels conflict and deceit.
-
C.
Pangcah
Pangcah is the self-designation of the Amis, one of the largest Indigenous Austronesian peoples of Taiwan, known for their distinct language and rich cultural traditions.
-
D.
Gadong
Gadong is a major commercial and entertainment hub in Brunei, known for its shopping centers, markets, and vibrant urban activity.
-
E.
Bantia
Bantia was an ancient Oscan-speaking city in southern Italy, notable for yielding important inscriptions that illuminate the Oscan language and Italic legal traditions.
- 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.