Triple
T16886066
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bundibugyo ebolavirus |
E421542
|
entity |
| Predicate | firstReportedOutbreakYear |
P56456
|
FINISHED |
| Object | 2007 |
—
|
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: 2007 | Statement: [Bundibugyo ebolavirus, firstReportedOutbreakYear, 2007]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstReportedOutbreakYear Context triple: [Bundibugyo ebolavirus, firstReportedOutbreakYear, 2007]
-
A.
yearOfOutbreak
chosen
Indicates the specific calendar year in which an outbreak began or was first identified.
-
B.
firstReportedYear
Indicates the year in which something was initially reported, documented, or made known for the first time.
-
C.
outbreakEndYear
Indicates the calendar year in which a particular outbreak is considered to have ended.
-
D.
wasFirstObservedIn
Indicates that an entity was initially noticed, recorded, or detected at a particular time or place.
-
E.
firstLandfallYear
Indicates the calendar year in which something (typically a storm or similar event) first makes landfall.
- 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_69d889d470fc8190b4aec199636c0c56 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e3bbc126e881909dae8133ad34acc9 |
completed | April 18, 2026, 5:13 p.m. |
| PD | Predicate disambiguation | batch_69e32b90ec3c819099c51bb7baf2984c |
completed | April 18, 2026, 6:58 a.m. |
Created at: April 10, 2026, 5:29 a.m.