Triple
T14271895
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hendra virus |
E353805
|
entity |
| Predicate | notableOutbreak |
P54330
|
FINISHED |
| Object | 1994 Hendra outbreak in racehorses and humans |
—
|
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: 1994 Hendra outbreak in racehorses and humans | Statement: [Hendra virus, notableOutbreak, 1994 Hendra outbreak in racehorses and humans]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableOutbreak Context triple: [Hendra virus, notableOutbreak, 1994 Hendra outbreak in racehorses and humans]
-
A.
associatedOutbreak
chosen
Indicates that one entity (such as a case, location, or event) is linked to or involved in a particular outbreak.
-
B.
epidemicType
Indicates the classification of an epidemic according to its nature, pattern, or mode of spread.
-
C.
yearOfOutbreak
Indicates the specific calendar year in which an outbreak began or was first identified.
-
D.
associatedWithEpidemic
Indicates that something has a connection or relevance to an epidemic, such as being caused by, occurring during, or contributing to that epidemic.
-
E.
epidemicScale
Indicates that an event, condition, or phenomenon occurs with such widespread prevalence and rapid spread that it reaches an epidemic level in scale.
- 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_69d8278d25148190abf1a8c8f5f533ad |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de65811d7c8190b075909a6570d415 |
completed | April 14, 2026, 4:04 p.m. |
| PD | Predicate disambiguation | batch_69de2a7d586c8190846ff242bbf5ac53 |
completed | April 14, 2026, 11:52 a.m. |
Created at: April 10, 2026, 1:10 a.m.