Triple
T32526203
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A6 |
E831320
|
entity |
| Predicate | settingOfOutbreak |
P54330
|
FINISHED |
| Object | United States |
—
|
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: United States | Statement: [A6, settingOfOutbreak, United States]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: settingOfOutbreak Context triple: [A6, settingOfOutbreak, United States]
-
A.
outbreakDisease
Indicates that a disease begins to spread rapidly within a population or area, marking the start of an outbreak.
-
B.
epidemicScale
Indicates that an event, condition, or phenomenon occurs with such widespread prevalence and rapid spread that it reaches an epidemic level in scale.
-
C.
associatedOutbreak
chosen
Indicates that one entity (such as a case, location, or event) is linked to or involved in a particular outbreak.
-
D.
hasEpidemicEffect
Indicates that something causes, contributes to, or characterizes the spread and impact of an epidemic.
-
E.
epidemicSpreadFrom
Indicates that an epidemic originates in one location or population and then spreads to another location or population.
- 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_69f34923e1548190be0524205d8cdf8f |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f7cec454a88190a9f3bbee2b856636 |
completed | May 3, 2026, 10:40 p.m. |
| PD | Predicate disambiguation | batch_69f7c8977c288190997a892ec5f756ed |
completed | May 3, 2026, 10:13 p.m. |
Created at: May 1, 2026, 1:01 a.m.