Triple
T20354422
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Morogoro Region |
E496104
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object |
Kilosa
Kilosa is a town and district in eastern Tanzania known for its agricultural activities and location along the central railway in the Morogoro Region.
|
E1425602
|
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: Kilosa | Statement: [Morogoro Region, containsCity, Kilosa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kilosa Context triple: [Morogoro Region, containsCity, Kilosa]
-
A.
Kilana
Kilana is a Vorta official serving the Dominion who appears in Star Trek: Deep Space Nine as a cunning and diplomatic antagonist.
-
B.
Kilo
Kilo is a residential district in the city of Espoo, Finland, known for its apartment blocks, local services, and good commuter rail connections to Helsinki and surrounding areas.
-
C.
Kilo
Kilo is a hip-hop track by Clipse known for its vivid, metaphor-laden depictions of cocaine dealing.
-
D.
Quintal
Quintal is a small commune in the Haute-Savoie department of southeastern France, situated near Annecy in the French Alps.
-
E.
Kilolo
Kilolo is a town in southern Tanzania that serves as an administrative and local commercial center within the Iringa Region.
- 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: Kilosa Triple: [Morogoro Region, containsCity, Kilosa]
Generated description
Kilosa is a town and district in eastern Tanzania known for its agricultural activities and location along the central railway in the Morogoro Region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kilosa Target entity description: Kilosa is a town and district in eastern Tanzania known for its agricultural activities and location along the central railway in the Morogoro Region.
-
A.
Kilana
Kilana is a Vorta official serving the Dominion who appears in Star Trek: Deep Space Nine as a cunning and diplomatic antagonist.
-
B.
Kilo
Kilo is a residential district in the city of Espoo, Finland, known for its apartment blocks, local services, and good commuter rail connections to Helsinki and surrounding areas.
-
C.
Kilo
Kilo is a hip-hop track by Clipse known for its vivid, metaphor-laden depictions of cocaine dealing.
-
D.
Quintal
Quintal is a small commune in the Haute-Savoie department of southeastern France, situated near Annecy in the French Alps.
-
E.
Kilolo
Kilolo is a town in southern Tanzania that serves as an administrative and local commercial center within the Iringa Region.
- 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_69e0b4a3f7f48190b37f354574028ca6 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e67852ca9881908a5af18005639859 |
completed | April 20, 2026, 7:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a086968a4d8819090d5fbb3229724f7 |
completed | May 16, 2026, 12:56 p.m. |
| NEDg | Description generation | batch_6a0869b998108190a5c6652c2f5f2f5d |
completed | May 16, 2026, 12:57 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a086a6812a08190b4594fa9b6054355 |
completed | May 16, 2026, 1 p.m. |
Created at: April 16, 2026, 11:25 a.m.