Triple
T18052426
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Theobroma |
E431952
|
entity |
| Predicate | includesTaxon |
P1393
|
FINISHED |
| Object | Theobroma chocoense |
—
|
NE NERFINISHED |
How this triple was built (2 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: Theobroma chocoense | Statement: [Theobroma, includesTaxon, Theobroma chocoense]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Theobroma chocoense Context triple: [Theobroma, includesTaxon, Theobroma chocoense]
-
A.
Theobroma
chosen
Theobroma is a genus of tropical American trees best known for including Theobroma cacao, the source of cocoa and chocolate.
-
B.
Theobroma velutinum
Theobroma velutinum is a species of tropical tree in the cacao genus Theobroma, related to the cacao tree that produces chocolate.
-
C.
Coffea
Coffea is a genus of flowering plants whose seeds are processed to produce coffee, one of the most widely consumed beverages in the world.
-
D.
Cochoqua
The Cochoqua were a prominent Khoikhoi pastoralist group in the Cape region of South Africa, known for their power and involvement in early conflicts with Dutch colonists in the 17th century.
-
E.
Kakao
Kakao is a South Korean internet and technology company best known for its mobile messaging app KakaoTalk and a wide range of digital services spanning fintech, entertainment, and online platforms.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b906482481908183315b9ecf9994 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4c0ff580c8190bc3ca04025476255 |
completed | April 19, 2026, 11:48 a.m. |
Created at: April 10, 2026, 10:25 a.m.