Triple
T15967472
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Discocnide mexicana |
E387230
|
entity |
| Predicate | typeSpeciesOf |
P7381
|
FINISHED |
| Object | Discocnide |
E83269
|
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: Discocnide | Statement: [Discocnide mexicana, typeSpeciesOf, Discocnide]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Discocnide Context triple: [Discocnide mexicana, typeSpeciesOf, Discocnide]
-
A.
Discocnide
chosen
Discocnide is a small genus of flowering plants in the hemp family Cannabaceae, known for its nettle-like species.
-
B.
Disco D
Disco D was an American record producer and DJ known for his innovative work in ghettotech and hip-hop, including collaborations with major artists in the early 2000s.
-
C.
Discoba
Discoba is a major group of unicellular eukaryotes within the supergroup Excavata, encompassing diverse flagellated protists such as euglenids and kinetoplastids.
-
D.
DISCA
DISCA was the NASDAQ ticker symbol for Discovery, Inc., a major American media company known for its portfolio of nonfiction television networks such as Discovery Channel and Animal Planet.
-
E.
Piriform
Piriform is a software company best known for creating the PC optimization tool CCleaner and related system utility applications.
- 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_69e157277e7881908d49f4874766b3b5 |
completed | April 16, 2026, 9:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffc3c5a7d48190891e69314e67e9af |
completed | May 9, 2026, 11:31 p.m. |
Created at: April 10, 2026, 4:54 a.m.