Triple
T3254745
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kilwa Kisiwani |
E68268
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Husuni Ndogo
Husuni Ndogo is a small medieval coastal fortification on Kilwa Kisiwani in Tanzania, associated with the historic Swahili trading civilization.
|
E342445
|
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: Husuni Ndogo | Statement: [Kilwa Kisiwani, hasPart, Husuni Ndogo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Husuni Ndogo Context triple: [Kilwa Kisiwani, hasPart, Husuni Ndogo]
-
A.
Gambiri Kati
Gambiri Kati is an alternative name for the Tregami language, an Indo-Iranian language spoken in parts of eastern Afghanistan.
-
B.
Nyanjoga
Nyanjoga is a Kenyan surname associated with individuals such as Habiba Akumu Nyanjoga.
-
C.
Ngozi Olejeme
Ngozi Olejeme is a Nigerian politician and businesswoman known for her roles in public service and involvement in national development initiatives.
-
D.
Mwaghavul
Mwaghavul is a Chadic language spoken primarily by the Mwaghavul people in Plateau State, central Nigeria.
-
E.
Alego Kogelo
Alego Kogelo is a rural village in western Kenya best known internationally as the ancestral home of former U.S. President Barack Obama’s family.
- 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: Husuni Ndogo Triple: [Kilwa Kisiwani, hasPart, Husuni Ndogo]
Generated description
Husuni Ndogo is a small medieval coastal fortification on Kilwa Kisiwani in Tanzania, associated with the historic Swahili trading civilization.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Husuni Ndogo Target entity description: Husuni Ndogo is a small medieval coastal fortification on Kilwa Kisiwani in Tanzania, associated with the historic Swahili trading civilization.
-
A.
Gambiri Kati
Gambiri Kati is an alternative name for the Tregami language, an Indo-Iranian language spoken in parts of eastern Afghanistan.
-
B.
Nyanjoga
Nyanjoga is a Kenyan surname associated with individuals such as Habiba Akumu Nyanjoga.
-
C.
Ngozi Olejeme
Ngozi Olejeme is a Nigerian politician and businesswoman known for her roles in public service and involvement in national development initiatives.
-
D.
Mwaghavul
Mwaghavul is a Chadic language spoken primarily by the Mwaghavul people in Plateau State, central Nigeria.
-
E.
Alego Kogelo
Alego Kogelo is a rural village in western Kenya best known internationally as the ancestral home of former U.S. President Barack Obama’s family.
- 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_69ad858f74408190bcbd07f967cd7bd0 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69adaf65c9388190a0d74d6365ce631e |
completed | March 8, 2026, 5:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b28ec9553881908ee96b8684934914 |
completed | March 12, 2026, 10 a.m. |
| NEDg | Description generation | batch_69b28f9e12488190b93355b783300264 |
completed | March 12, 2026, 10:04 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b2c092063481909982dea3f71c00c1 |
completed | March 12, 2026, 1:33 p.m. |
Created at: March 8, 2026, 3:09 p.m.