Triple
T6974965
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tanzania–Zambia Railway |
E161693
|
entity |
| Predicate | passesThrough |
P225
|
FINISHED |
| Object |
Chilongolo
Chilongolo is a locality in East Africa situated along the route of the Tanzania–Zambia Railway.
|
E633692
|
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: Chilongolo | Statement: [Tanzania–Zambia Railway, passesThrough, Chilongolo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chilongolo Context triple: [Tanzania–Zambia Railway, passesThrough, Chilongolo]
-
A.
Chindau
Chindau is a Bantu language spoken primarily by the Ndau people in parts of Mozambique and Zimbabwe.
-
B.
Kisolongo
Kisolongo is a regional dialect of the Kikongo language spoken by Kongo communities in parts of Central Africa.
-
C.
Zalongo
Zalongo is a historic village and archaeological area in Epirus, Greece, best known for the 19th-century mass suicide of Souliot women commemorated by the Dance of Zalongo.
-
D.
Chkondidi
Chkondidi is a historic locality in western Georgia known primarily for its medieval ecclesiastical significance and association with the Chkondidi Cathedral.
-
E.
Chingoni
Chingoni is an alternative name for the Ngoni people, a Bantu-speaking ethnic group in southeastern Africa known for their historical migrations and military 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: Chilongolo Triple: [Tanzania–Zambia Railway, passesThrough, Chilongolo]
Generated description
Chilongolo is a locality in East Africa situated along the route of the Tanzania–Zambia Railway.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Chilongolo Target entity description: Chilongolo is a locality in East Africa situated along the route of the Tanzania–Zambia Railway.
-
A.
Chindau
Chindau is a Bantu language spoken primarily by the Ndau people in parts of Mozambique and Zimbabwe.
-
B.
Kisolongo
Kisolongo is a regional dialect of the Kikongo language spoken by Kongo communities in parts of Central Africa.
-
C.
Zalongo
Zalongo is a historic village and archaeological area in Epirus, Greece, best known for the 19th-century mass suicide of Souliot women commemorated by the Dance of Zalongo.
-
D.
Chkondidi
Chkondidi is a historic locality in western Georgia known primarily for its medieval ecclesiastical significance and association with the Chkondidi Cathedral.
-
E.
Chingoni
Chingoni is an alternative name for the Ngoni people, a Bantu-speaking ethnic group in southeastern Africa known for their historical migrations and military 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_69c68854a0d88190bc0bf82263f1afce |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6db3bda908190a10a91dc8d043ef1 |
completed | March 27, 2026, 7:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c761a6bbdc81908c96871f151db279 |
completed | March 28, 2026, 5:05 a.m. |
| NEDg | Description generation | batch_69c7639074f48190bc095f18fc35c08b |
completed | March 28, 2026, 5:13 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c76435fd2c819099143ea12f21d095 |
completed | March 28, 2026, 5:16 a.m. |
Created at: March 27, 2026, 2:31 p.m.