Triple
T19945636
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Central West Queensland |
E479415
|
entity |
| Predicate | hasMajorTown |
P316
|
FINISHED |
| Object |
Tambo
Tambo is a small rural town in outback Queensland, Australia, known for its historic buildings, sheep and cattle grazing, and role as a service centre for the surrounding pastoral region.
|
E1403002
|
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: Tambo | Statement: [Central West Queensland, hasMajorTown, Tambo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tambo Context triple: [Central West Queensland, hasMajorTown, Tambo]
-
A.
Tambo
Tambo is a South African surname most prominently associated with anti-apartheid leader Oliver Tambo.
-
B.
Thohoyandou
Thohoyandou is a town in South Africa’s Limpopo province that serves as an administrative, commercial, and educational hub for the surrounding region.
-
C.
Mabasa
Mabasa is a barangay (village-level administrative division) within the municipality of Argao in Cebu, Philippines.
-
D.
Tsogo
Tsogo is a Bantu language of Central Africa, spoken primarily in Gabon and closely related to Njebi.
-
E.
Makgoba
Makgoba is a South African surname most prominently associated with Thabo Makgoba, the Anglican Archbishop of Cape Town.
- 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: Tambo Triple: [Central West Queensland, hasMajorTown, Tambo]
Generated description
Tambo is a small rural town in outback Queensland, Australia, known for its historic buildings, sheep and cattle grazing, and role as a service centre for the surrounding pastoral region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tambo Target entity description: Tambo is a small rural town in outback Queensland, Australia, known for its historic buildings, sheep and cattle grazing, and role as a service centre for the surrounding pastoral region.
-
A.
Tambo
Tambo is a South African surname most prominently associated with anti-apartheid leader Oliver Tambo.
-
B.
Thohoyandou
Thohoyandou is a town in South Africa’s Limpopo province that serves as an administrative, commercial, and educational hub for the surrounding region.
-
C.
Mabasa
Mabasa is a barangay (village-level administrative division) within the municipality of Argao in Cebu, Philippines.
-
D.
Tsogo
Tsogo is a Bantu language of Central Africa, spoken primarily in Gabon and closely related to Njebi.
-
E.
Makgoba
Makgoba is a South African surname most prominently associated with Thabo Makgoba, the Anglican Archbishop of Cape Town.
- 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_69d8e522a17c819095165d4d24939fd8 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65a6654f481908089e1d66e17e024 |
completed | April 20, 2026, 4:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a07f6f2e9dc81909785e4e43c5284b9 |
completed | May 16, 2026, 4:47 a.m. |
| NEDg | Description generation | batch_6a07f88c821c8190a11378d59f4b2063 |
completed | May 16, 2026, 4:54 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a07f914434c8190a0e056a8aaa8a1fb |
completed | May 16, 2026, 4:56 a.m. |
Created at: April 10, 2026, 1:54 p.m.