Triple
T9621506
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sari (place name) |
E232350
|
entity |
| Predicate | refersTo |
P37
|
FINISHED |
| Object |
Sari, Tanzania
Sari, Tanzania is a village in northern Tanzania, likely situated in the Kilimanjaro or Arusha region, known as a small rural settlement within the country.
|
E809750
|
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: Sari, Tanzania | Statement: [Sari (place name), refersTo, Sari, Tanzania]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sari, Tanzania Context triple: [Sari (place name), refersTo, Sari, Tanzania]
-
A.
Arusha, Tanzania
Arusha, Tanzania is a major city in northern Tanzania known as a diplomatic hub and gateway to popular safari destinations and Mount Kilimanjaro.
-
B.
Mwanza, Tanzania
Mwanza is a major port city on the southern shores of Lake Victoria in northern Tanzania, known as an important commercial and transportation hub for the region.
-
C.
Tabora
Tabora is a historic town in western Tanzania known as a regional trade center and former hub of 19th-century caravan routes.
-
D.
Maswa
Maswa is a town and administrative district in northern Tanzania, known for its agricultural activities within the Simiyu Region.
-
E.
Barawa
Barawa is a West Chadic language spoken in parts of Nigeria, belonging to the Afroasiatic language 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: Sari, Tanzania Triple: [Sari (place name), refersTo, Sari, Tanzania]
Generated description
Sari, Tanzania is a village in northern Tanzania, likely situated in the Kilimanjaro or Arusha region, known as a small rural settlement within the country.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sari, Tanzania Target entity description: Sari, Tanzania is a village in northern Tanzania, likely situated in the Kilimanjaro or Arusha region, known as a small rural settlement within the country.
-
A.
Arusha, Tanzania
Arusha, Tanzania is a major city in northern Tanzania known as a diplomatic hub and gateway to popular safari destinations and Mount Kilimanjaro.
-
B.
Mwanza, Tanzania
Mwanza is a major port city on the southern shores of Lake Victoria in northern Tanzania, known as an important commercial and transportation hub for the region.
-
C.
Tabora
Tabora is a historic town in western Tanzania known as a regional trade center and former hub of 19th-century caravan routes.
-
D.
Maswa
Maswa is a town and administrative district in northern Tanzania, known for its agricultural activities within the Simiyu Region.
-
E.
Barawa
Barawa is a West Chadic language spoken in parts of Nigeria, belonging to the Afroasiatic language 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_69ca84867bb88190b4b57dd5a56d5691 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9ad505588190b8c81ce09f1904ec |
completed | April 1, 2026, 10:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1797386d88190bc1d9309ecc1b4fb |
completed | April 4, 2026, 8:49 p.m. |
| NEDg | Description generation | batch_69d17a0d603881908066d61fff1d2fda |
completed | April 4, 2026, 8:52 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d17a769b608190b49ad82b35cf1b44 |
completed | April 4, 2026, 8:54 p.m. |
Created at: March 30, 2026, 8:10 p.m.