Triple
T15279126
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nxai Pan |
E365222
|
entity |
| Predicate | nearbyFeature |
P2064
|
FINISHED |
| Object |
Baines' Baobabs
Baines' Baobabs are a famous cluster of ancient baobab trees in Botswana, celebrated for their striking appearance and for being immortalized in the 19th-century paintings of explorer-artist Thomas Baines.
|
E1148407
|
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: Baines' Baobabs | Statement: [Nxai Pan, nearbyFeature, Baines' Baobabs]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Baines' Baobabs Context triple: [Nxai Pan, nearbyFeature, Baines' Baobabs]
-
A.
Banyon
Banyon is an American television detective series from the early 1970s centered on a hard-boiled private investigator in 1930s Los Angeles.
-
B.
Mazabuka
Mazabuka is a town in southern Zambia known for its sugar industry and agricultural production.
-
C.
Brobenah
Brobenah is a rural locality within the Leeton Shire area of New South Wales, Australia.
-
D.
Kabaena
Kabaena is an island in Indonesia known for its location off the coast of Sulawesi and its mix of coastal and hilly landscapes.
-
E.
Coontie Doon
Coontie Doon is the Scots language name for County Down, a historic county in the northeast of Ireland, now part of Northern Ireland.
- 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: Baines' Baobabs Triple: [Nxai Pan, nearbyFeature, Baines' Baobabs]
Generated description
Baines' Baobabs are a famous cluster of ancient baobab trees in Botswana, celebrated for their striking appearance and for being immortalized in the 19th-century paintings of explorer-artist Thomas Baines.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Baines' Baobabs Target entity description: Baines' Baobabs are a famous cluster of ancient baobab trees in Botswana, celebrated for their striking appearance and for being immortalized in the 19th-century paintings of explorer-artist Thomas Baines.
-
A.
Banyon
Banyon is an American television detective series from the early 1970s centered on a hard-boiled private investigator in 1930s Los Angeles.
-
B.
Mazabuka
Mazabuka is a town in southern Zambia known for its sugar industry and agricultural production.
-
C.
Brobenah
Brobenah is a rural locality within the Leeton Shire area of New South Wales, Australia.
-
D.
Kabaena
Kabaena is an island in Indonesia known for its location off the coast of Sulawesi and its mix of coastal and hilly landscapes.
-
E.
Coontie Doon
Coontie Doon is the Scots language name for County Down, a historic county in the northeast of Ireland, now part of Northern Ireland.
- 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_69d85a103d9081908c1ea6c4c73ac8e3 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e00e504d8c8190ad6c565a31d1a9bd |
completed | April 15, 2026, 10:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69feef754c9c8190abdc1d08fd1511cd |
completed | May 9, 2026, 8:25 a.m. |
| NEDg | Description generation | batch_69fef17e1b8481908600e8f2f60ebe98 |
completed | May 9, 2026, 8:34 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fef1e8e41481908f2c8ebe1b1036fa |
completed | May 9, 2026, 8:35 a.m. |
Created at: April 10, 2026, 3:14 a.m.