Triple
T20232551
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Logopolis |
E495562
|
entity |
| Predicate | featuresCompanion |
P48101
|
FINISHED |
| Object | Nyssa |
—
|
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: Nyssa | Statement: [Logopolis, featuresCompanion, Nyssa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nyssa Context triple: [Logopolis, featuresCompanion, Nyssa]
-
A.
Nyssa
Nyssa is a small genus of deciduous trees native to North America and East Asia, commonly known as tupelos or gum trees, valued for their attractive foliage and ecological importance.
-
B.
Nyssa
chosen
Nyssa is a companion of the Fifth Doctor in the long-running British science fiction television series Doctor Who.
-
C.
Ahorn
Ahorn is a municipality in the Bavarian region of Germany, known for its rural character and proximity to the city of Coburg.
-
D.
Arbutus
Arbutus is an unincorporated community in Baltimore County, Maryland, known as a residential suburb of Baltimore near the University of Maryland, Baltimore County.
-
E.
Zelkova
Zelkova is a small genus of deciduous trees in the elm family, valued as ornamentals and for bonsai, and native to parts of Europe and Asia.
- 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_69da626cff80819097b530718a7c98b6 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e67166d4d081908c4b8eeb66e7e090 |
completed | April 20, 2026, 6:33 p.m. |
Created at: April 11, 2026, 11:40 p.m.