Triple
T17261954
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zika virus |
E419028
|
entity |
| Predicate | firstIsolationYear |
P50064
|
FINISHED |
| Object | 1947 |
—
|
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: 1947 | Statement: [Zika virus, firstIsolationYear, 1947]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstIsolationYear Context triple: [Zika virus, firstIsolationYear, 1947]
-
A.
wasFirstIsolatedInYear
chosen
Indicates that the first successful isolation or identification of an entity occurred in the specified year.
-
B.
firstInternationalYear
Indicates that the referenced year is the first year in which the entity participated in or was involved in an international context or activity.
-
C.
firstCreationYear
Indicates the year in which something was first created or originally produced.
-
D.
firstCaptureYear
Indicates the year in which an entity was first captured or recorded as captured.
-
E.
firstInscriptionYear
Indicates the year in which an entity was first inscribed, recorded, or officially entered into a relevant register or list.
- 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_69d886d9ab108190b70edd8d17aa1204 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42e717a348190ae6835fb08f38125 |
completed | April 19, 2026, 1:22 a.m. |
| PD | Predicate disambiguation | batch_69e3832a284481908a8a3da7ac91de5a |
completed | April 18, 2026, 1:12 p.m. |
Created at: April 10, 2026, 5:39 a.m.