Triple
T13712563
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Makoni District |
E328809
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object |
Tandi
Tandi is a small rural settlement located in Makoni District in eastern Zimbabwe.
|
E1056638
|
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: Tandi | Statement: [Makoni District, hasSettlement, Tandi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tandi Context triple: [Makoni District, hasSettlement, Tandi]
-
A.
Tandi
Tandi is a small town in Himachal Pradesh, India, known as a key junction in the Lahaul region where major mountain rivers meet and as a common stopover for travelers in the Himalayas.
-
B.
Tantamani
Tantamani was a Kushite king of the 25th Dynasty of Egypt, known for his brief attempt to restore Nubian control over Egypt before being driven back by the Assyrians.
-
C.
Tanunda
Tanunda is a prominent town in South Australia's Barossa Valley wine region, known for its rich German heritage and surrounding vineyards.
-
D.
Tangale
Tangale is a West Chadic language spoken primarily in Gombe State, northeastern Nigeria, by the Tangale people.
-
E.
Garango
Garango is a town in Burkina Faso known for its cultural and municipal ties with the German town of Ladenburg.
- 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: Tandi Triple: [Makoni District, hasSettlement, Tandi]
Generated description
Tandi is a small rural settlement located in Makoni District in eastern Zimbabwe.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tandi Target entity description: Tandi is a small rural settlement located in Makoni District in eastern Zimbabwe.
-
A.
Tandi
Tandi is a small town in Himachal Pradesh, India, known as a key junction in the Lahaul region where major mountain rivers meet and as a common stopover for travelers in the Himalayas.
-
B.
Tantamani
Tantamani was a Kushite king of the 25th Dynasty of Egypt, known for his brief attempt to restore Nubian control over Egypt before being driven back by the Assyrians.
-
C.
Tanunda
Tanunda is a prominent town in South Australia's Barossa Valley wine region, known for its rich German heritage and surrounding vineyards.
-
D.
Tangale
Tangale is a West Chadic language spoken primarily in Gombe State, northeastern Nigeria, by the Tangale people.
-
E.
Garango
Garango is a town in Burkina Faso known for its cultural and municipal ties with the German town of Ladenburg.
- 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_69d80770b9bc81909f70c8c317d53cff |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dd4395e8c0819098719c8cd344aa33 |
completed | April 13, 2026, 7:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f79d54a68081908df25edf6d5df362 |
completed | May 3, 2026, 7:09 p.m. |
| NEDg | Description generation | batch_69f79e1a90408190936cb71e567e10aa |
completed | May 3, 2026, 7:12 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f79ee74ea48190a4c753b12bb9190e |
completed | May 3, 2026, 7:15 p.m. |
Created at: April 9, 2026, 9:54 p.m.