Triple
T3205541
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fatoua villosa |
E67151
|
entity |
| Predicate | genus |
P87
|
FINISHED |
| Object | Fatoua |
E67151
|
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: Fatoua | Statement: [Fatoua villosa, genus, Fatoua]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fatoua Context triple: [Fatoua villosa, genus, Fatoua]
-
A.
Fatoua
chosen
Fatoua is a small genus of flowering plants in the mulberry family, known for herbaceous species native to parts of Asia and the Pacific.
-
B.
Mimoun
Mimoun is a surname most notably associated with Alain Mimoun, the French long-distance runner and Olympic marathon champion.
-
C.
Marwa
Marwa is one of the two small hills in Mecca that Muslims traverse between during the ritual of Sa'i in the Hajj and Umrah pilgrimages.
-
D.
Jahra
Jahra is a major town and administrative center in western Kuwait, known historically as an agricultural area and now as a growing suburban and commercial hub.
-
E.
Bittou
Bittou is a town in Burkina Faso known for its role as a regional trading center and its international town-twinning links with European municipalities.
- 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_69ad8589bd988190afa7ed2bdffb7b33 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69adaa559848819082d1e61f586278dd |
completed | March 8, 2026, 4:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b24bcf7b2481908bc52cfa71bd313c |
completed | March 12, 2026, 5:14 a.m. |
Created at: March 8, 2026, 3:07 p.m.