Triple
T9929573
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Quercus wislizeni |
E192608
|
entity |
| Predicate | authority |
P1330
|
FINISHED |
| Object | A.DC. |
E231042
|
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: A.DC. | Statement: [Quercus wislizeni, authority, A.DC.]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: A.DC. Context triple: [Quercus wislizeni, authority, A.DC.]
-
A.
DC.
chosen
DC. is the standard botanical author abbreviation for Augustin Pyramus de Candolle, a prominent Swiss botanist known for his influential work in plant taxonomy.
-
B.
US-DC
US-DC is the ISO 3166-2 code representing the District of Columbia, the federal district containing the capital city of the United States, Washington, D.C.
-
C.
DC3
DC3 is a public community college in Dodge City, Kansas, offering two-year academic and technical programs.
-
D.
DCU
DCU is a modern public university in Dublin, Ireland, known for its focus on innovation, research, and industry-oriented education.
-
E.
DCU
DCU is the common abbreviation for D.C. United, a professional Major League Soccer club based in Washington, D.C.
- 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_69ca82dd978c8190947124ab0d3315ac |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdb5b215c481909e0bca43f158bd82 |
completed | April 2, 2026, 12:17 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d20e258e888190ae4e2abac80e3399 |
completed | April 5, 2026, 7:24 a.m. |
Created at: March 30, 2026, 8:43 p.m.