Triple
T19954266
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Madoqua |
E479641
|
entity |
| Predicate | hasSpecies |
P965
|
FINISHED |
| Object |
Madoqua piacentinii
Madoqua piacentinii is a small antelope species of dik-dik native to arid regions of the Horn of Africa.
|
E1403577
|
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: Madoqua piacentinii | Statement: [Madoqua, hasSpecies, Madoqua piacentinii]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Madoqua piacentinii Context triple: [Madoqua, hasSpecies, Madoqua piacentinii]
-
A.
Madoqua kirkii
Madoqua kirkii is a small antelope species native to eastern and southwestern Africa, known for its elongated snout and monogamous pair-bonding behavior.
-
B.
Tafi Mador
Tafi Mador is a village where the Tafi language is traditionally spoken by the local community.
-
C.
Mainza Chona
Mainza Chona was a prominent Zambian politician, diplomat, and close ally of President Kenneth Kaunda who played a key role in the country’s early post-independence government.
-
D.
Bafut
Bafut is a traditional kingdom and town in northwestern Cameroon known for its rich cultural heritage and historical palace.
-
E.
Mbanderu
Mbanderu is a subgroup of the Herero people with its own distinct dialect and cultural traditions, primarily found in Namibia and Botswana.
- 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: Madoqua piacentinii Triple: [Madoqua, hasSpecies, Madoqua piacentinii]
Generated description
Madoqua piacentinii is a small antelope species of dik-dik native to arid regions of the Horn of Africa.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Madoqua piacentinii Target entity description: Madoqua piacentinii is a small antelope species of dik-dik native to arid regions of the Horn of Africa.
-
A.
Madoqua kirkii
Madoqua kirkii is a small antelope species native to eastern and southwestern Africa, known for its elongated snout and monogamous pair-bonding behavior.
-
B.
Tafi Mador
Tafi Mador is a village where the Tafi language is traditionally spoken by the local community.
-
C.
Mainza Chona
Mainza Chona was a prominent Zambian politician, diplomat, and close ally of President Kenneth Kaunda who played a key role in the country’s early post-independence government.
-
D.
Bafut
Bafut is a traditional kingdom and town in northwestern Cameroon known for its rich cultural heritage and historical palace.
-
E.
Mbanderu
Mbanderu is a subgroup of the Herero people with its own distinct dialect and cultural traditions, primarily found in Namibia and Botswana.
- 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_69d8e523c19881909f9197037200dde6 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65aef16588190b3a40a3d49ef5080 |
completed | April 20, 2026, 4:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a07f6f6b3b8819095610f80c7ab94d1 |
completed | May 16, 2026, 4:47 a.m. |
| NEDg | Description generation | batch_6a07f79a4e5081908b92f3268f43fe5a |
completed | May 16, 2026, 4:50 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a07f813ea288190825eebcc1bf705b3 |
completed | May 16, 2026, 4:52 a.m. |
Created at: April 10, 2026, 1:54 p.m.