Triple
T15967310
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gironniera nervosa |
E387224
|
entity |
| Predicate | genus |
P87
|
FINISHED |
| Object | Gironniera |
E83265
|
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: Gironniera | Statement: [Gironniera nervosa, genus, Gironniera]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gironniera Context triple: [Gironniera nervosa, genus, Gironniera]
-
A.
Gironniera
chosen
Gironniera is a genus of flowering trees and shrubs in the hemp family Cannabaceae, native to tropical regions of Asia and Africa.
-
B.
Maletto
Maletto is a small Italian town on the slopes of Mount Etna in Sicily, known for its agricultural traditions and scenic volcanic landscape.
-
C.
Gagret
Gagret is a prominent town in the Una district of Himachal Pradesh, India, known for its role as a local commercial and administrative center.
-
D.
Skryne
Skryne is a village in County Meath, Ireland, known for its historic church ruins and its location overlooking the Hill of Tara.
-
E.
Dosse
The Dosse is a river in northeastern Germany that flows through Brandenburg and Saxony-Anhalt before joining the Havel.
- 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_69d86da94ccc819083d187f5dc6a123e |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e15726536881908b603e43ae1acafb |
completed | April 16, 2026, 9:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffbe87149081909ac6129126f597c2 |
completed | May 9, 2026, 11:08 p.m. |
Created at: April 10, 2026, 4:54 a.m.