Triple
T16415353
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Obetia tenax |
E398669
|
entity |
| Predicate | genus |
P87
|
FINISHED |
| Object | Obetia |
E91808
|
NE FINISHED |
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: Obetia | Statement: [Obetia tenax, genus, Obetia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Obetia Context triple: [Obetia tenax, genus, Obetia]
-
A.
Obetia
chosen
Obetia is a small genus of flowering plants in the nettle family Cannabaceae, known for its stinging hairs and occurrence in parts of Africa and nearby regions.
-
B.
Obin
Obin is a surname most notably associated with Haitian painter Philomé Obin and his family of influential artists.
-
C.
Orsa
Orsa is a small locality and municipality in central Sweden known for its forests, lakes, and traditional Dalarna culture.
-
D.
Oribos
Oribos is the central hub city and afterlife crossroads in World of Warcraft: Shadowlands, where players gather, trade, and access the expansion’s various realms.
-
E.
Gessa
Gessa is a small village in the Val d'Aran region of Catalonia, Spain, known for its traditional Pyrenean architecture and mountain setting.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d87f2b9024819085c20e52de95d583 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e3287741008190856882b7f34024fc |
completed | April 18, 2026, 6:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a003c6a89988190a44515f1ca08099f |
completed | May 10, 2026, 8:06 a.m. |
Created at: April 10, 2026, 5:09 a.m.