Triple
T2797439
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lanseria International Airport |
E53071
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object |
Lanseria
Lanseria is a town in the northwestern part of Johannesburg, South Africa, known primarily for hosting the privately owned Lanseria International Airport.
|
E301394
|
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: Lanseria | Statement: [Lanseria International Airport, locatedNear, Lanseria]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lanseria Context triple: [Lanseria International Airport, locatedNear, Lanseria]
-
A.
Negombo
Negombo is a coastal city in western Sri Lanka known historically as a strategic colonial port and today for its fishing industry and beach tourism.
-
B.
Mazabuka
Mazabuka is a town in southern Zambia known for its sugar industry and agricultural production.
-
C.
Soshanguve
Soshanguve is a large township in the northern part of the Gauteng province of South Africa, known for its diverse population and proximity to Pretoria.
-
D.
Hartenbos
Hartenbos is a popular coastal holiday town and beach resort in South Africa’s Western Cape, near Mossel Bay, known for its family-friendly atmosphere and seaside tourism.
-
E.
Lusiana
Lusiana is a small town in the Veneto region of northern Italy, known as the birthplace of Indian politician Sonia Gandhi.
- 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: Lanseria Triple: [Lanseria International Airport, locatedNear, Lanseria]
Generated description
Lanseria is a town in the northwestern part of Johannesburg, South Africa, known primarily for hosting the privately owned Lanseria International Airport.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lanseria Target entity description: Lanseria is a town in the northwestern part of Johannesburg, South Africa, known primarily for hosting the privately owned Lanseria International Airport.
-
A.
Negombo
Negombo is a coastal city in western Sri Lanka known historically as a strategic colonial port and today for its fishing industry and beach tourism.
-
B.
Mazabuka
Mazabuka is a town in southern Zambia known for its sugar industry and agricultural production.
-
C.
Soshanguve
Soshanguve is a large township in the northern part of the Gauteng province of South Africa, known for its diverse population and proximity to Pretoria.
-
D.
Hartenbos
Hartenbos is a popular coastal holiday town and beach resort in South Africa’s Western Cape, near Mossel Bay, known for its family-friendly atmosphere and seaside tourism.
-
E.
Lusiana
Lusiana is a small town in the Veneto region of northern Italy, known as the birthplace of Indian politician Sonia Gandhi.
- 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_69ab495a90788190941b6917e1eca3a6 |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abddf0f4988190bffc3abab7edbb81 |
completed | March 7, 2026, 8:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afce92b40c8190a6ed3e6c06f15c79 |
completed | March 10, 2026, 7:56 a.m. |
| NEDg | Description generation | batch_69afcf3aa64081909fe4007d94df48c2 |
completed | March 10, 2026, 7:58 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69afcfe8a140819095daa37d539e4c72 |
completed | March 10, 2026, 8:01 a.m. |
Created at: March 6, 2026, 9:58 p.m.