Triple
T16582835
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Urticoideae |
E402878
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object | Urtica |
E10149
|
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: Urtica | Statement: [Urticoideae, hasMember, Urtica]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Urtica Context triple: [Urticoideae, hasMember, Urtica]
-
A.
Urtica
chosen
Urtica is a genus of herbaceous plants best known for its stinging nettles, which have tiny hairs that can irritate the skin.
-
B.
Teasle
Teasle is the surname of Sheriff Will Teasle, a fictional law enforcement character best known as the antagonist in the novel and film "First Blood."
-
C.
Agrimonia
Agrimonia is a genus of herbaceous flowering plants in the rose family known for their small yellow flowers and traditional medicinal uses.
-
D.
Schildkraut
Schildkraut is a surname most notably associated with Austrian-American actor Joseph Schildkraut, an Academy Award winner known for his work in early 20th-century film and theater.
-
E.
Rumex
Rumex is a genus of flowering plants commonly known as docks and sorrels, many of which are widespread weeds or edible leafy herbs found in temperate regions worldwide.
- 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_69d88387363c8190a97a0c942130de97 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e35999088c8190900497f18728bd0b |
completed | April 18, 2026, 10:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a006ef2d6048190954144ab848760ec |
completed | May 10, 2026, 11:41 a.m. |
Created at: April 10, 2026, 5:16 a.m.