Triple
T16736520
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Atherton Tablelands |
E406731
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Malanda
Malanda is a small rural town in Queensland, Australia, known for its dairy industry and proximity to waterfalls and rainforest on the Atherton Tablelands.
|
E1231033
|
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: Malanda | Statement: [Atherton Tablelands, contains, Malanda]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Malanda Context triple: [Atherton Tablelands, contains, Malanda]
-
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.
Karonga
Karonga is a town in northern Malawi located on the shores of Lake Malawi, known as a regional transport hub and archaeological site.
-
C.
Malangwa
Malangwa is a town in southeastern Nepal that serves as a local commercial hub near the border with India.
-
D.
Matunga
Matunga is a central Mumbai neighborhood known for its strong South Indian cultural presence, educational institutions, and historic residential character.
-
E.
Mueda
Mueda is a town in northern Mozambique known as a historical center of Makonde culture and the site of the pivotal 1960 Mueda massacre that helped spark the Mozambican independence struggle.
- 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: Malanda Triple: [Atherton Tablelands, contains, Malanda]
Generated description
Malanda is a small rural town in Queensland, Australia, known for its dairy industry and proximity to waterfalls and rainforest on the Atherton Tablelands.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Malanda Target entity description: Malanda is a small rural town in Queensland, Australia, known for its dairy industry and proximity to waterfalls and rainforest on the Atherton Tablelands.
-
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.
Karonga
Karonga is a town in northern Malawi located on the shores of Lake Malawi, known as a regional transport hub and archaeological site.
-
C.
Malangwa
Malangwa is a town in southeastern Nepal that serves as a local commercial hub near the border with India.
-
D.
Matunga
Matunga is a central Mumbai neighborhood known for its strong South Indian cultural presence, educational institutions, and historic residential character.
-
E.
Mueda
Mueda is a town in northern Mozambique known as a historical center of Makonde culture and the site of the pivotal 1960 Mueda massacre that helped spark the Mozambican independence struggle.
- 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_69d8838ffb088190a0b11149929006bf |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e39c3a86848190a03f243dd1bdb899 |
completed | April 18, 2026, 2:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a009d4ea8208190aed0a4014a10d120 |
completed | May 10, 2026, 2:59 p.m. |
| NEDg | Description generation | batch_6a009ed297488190a20558efb9f91a55 |
completed | May 10, 2026, 3:05 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a009f460010819086cfd7a7d74cb435 |
completed | May 10, 2026, 3:07 p.m. |
Created at: April 10, 2026, 5:20 a.m.