Triple
T5201691
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Titania |
E117406
|
entity |
| Predicate | hemisphereImagedBest |
P1889
|
FINISHED |
| Object | southern hemisphere |
—
|
LITERAL 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: southern hemisphere | Statement: [Titania, hemisphereImagedBest, southern hemisphere]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hemisphereImagedBest Context triple: [Titania, hemisphereImagedBest, southern hemisphere]
-
A.
hemisphereDominance
Indicates which brain hemisphere (left or right) is functionally dominant for a given cognitive or neural process in an entity.
-
B.
hasPeakUsageInHemisphere
Indicates that the time period of highest usage or activity for something occurs within a specified hemisphere (e.g., Northern or Southern).
-
C.
hemispherePresence
chosen
Indicates the spatial relationship of whether and in which hemisphere(s) (e.g., northern, southern, eastern, western) an entity is present or occurs.
-
D.
imagedIn
Indicates that one entity appears within or is depicted in an image associated with another entity.
-
E.
imagedBy
Indicates that something is captured, recorded, or represented in an image created by a particular imaging device, method, or agent.
- F. None of above.
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_69bd4463dd3c81909966123f20b79d57 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7adb034c819086bf8a85fbf158f4 |
completed | March 20, 2026, 4:50 p.m. |
| PD | Predicate disambiguation | batch_69bd77b9a67c8190819612257ea746b4 |
completed | March 20, 2026, 4:37 p.m. |
Created at: March 20, 2026, 1:47 p.m.