Triple
T4689756
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | BCG vaccine |
E104005
|
entity |
| Predicate | firstUsedInHumansYear |
P20170
|
FINISHED |
| Object | 1921 |
—
|
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: 1921 | Statement: [BCG vaccine, firstUsedInHumansYear, 1921]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstUsedInHumansYear Context triple: [BCG vaccine, firstUsedInHumansYear, 1921]
-
A.
firstReportedYear
Indicates the year in which something was initially reported, documented, or made known for the first time.
-
B.
yearOfOutbreak
Indicates the specific calendar year in which an outbreak began or was first identified.
-
C.
wasFirstObservedIn
Indicates that an entity was initially noticed, recorded, or detected at a particular time or place.
-
D.
firstUsedOn
chosen
Indicates the date, time, or context in which something was initially applied, activated, or put into use on a particular object or entity.
-
E.
firstAppearedAt
Indicates the point in time or specific event at which an entity was first introduced, observed, or became known.
- 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_69bd43df91f481908e9add1b617b60ef |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd66059bfc8190885d26d05dd38df1 |
completed | March 20, 2026, 3:21 p.m. |
| PD | Predicate disambiguation | batch_69bd6219da948190bbbb50f08573ab4d |
completed | March 20, 2026, 3:04 p.m. |
Created at: March 20, 2026, 1:16 p.m.