Triple
T18923929
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ATCvet |
E462929
|
entity |
| Predicate | hasAbbreviation |
P43
|
FINISHED |
| Object | ATCvet |
—
|
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: ATCvet | Statement: [ATCvet, hasAbbreviation, ATCvet]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ATCvet Context triple: [ATCvet, hasAbbreviation, ATCvet]
-
A.
ATCvet
chosen
ATCvet is the veterinary extension of the Anatomical Therapeutic Chemical classification system, used to categorize medicines specifically intended for animal use.
-
B.
Afitos
Afitos is a traditional seaside village on the Kassandra peninsula in Halkidiki, Greece, known for its stone houses, cobbled streets, and views over the Toroneos Gulf.
-
C.
Pentas
Pentas is a genus of flowering plants known for its star-shaped, nectar-rich blooms that attract butterflies and are widely used as ornamental garden plants.
-
D.
Atrium Flora
Atrium Flora is a major shopping mall in Prague featuring a wide range of retail stores, dining options, and entertainment facilities.
-
E.
Petal
Petal is a U.S.-based fintech company that offers credit cards and builds credit for consumers using alternative underwriting methods that go beyond traditional credit scores.
- 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_69d8dcfdbbb881909964fa5a75bd0b48 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5c9b549448190850d7eed4de7872b |
completed | April 20, 2026, 6:37 a.m. |
Created at: April 10, 2026, 11:59 a.m.