Triple
T38561037
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | tetanus |
E928075
|
entity |
| Predicate | occursWorldwide |
P88755
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [tetanus, occursWorldwide, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: occursWorldwide Context triple: [tetanus, occursWorldwide, true]
-
A.
usedWorldwide
Indicates that something is utilized or applied across many countries or regions around the world.
-
B.
observedWorldwide
chosen
Indicates that something has been seen, recorded, or recognized in locations across the entire world.
-
C.
usedWorldwideBy
Indicates that something is utilized or adopted by people or organizations across many countries around the world.
-
D.
isConsumedWorldwide
Indicates that something is eaten or used by people across many different countries or regions around the world.
-
E.
playedWorldwide
Indicates that something (such as a performance, event, or media content) has been presented or made available in multiple countries across the world.
- 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_69f76eb8d1808190a588af29d8b266d6 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fcdfbc71c481908ba7f87907b17782 |
completed | May 7, 2026, 6:53 p.m. |
| PD | Predicate disambiguation | batch_69fcdbe580b8819087f143596b2c79c0 |
completed | May 7, 2026, 6:37 p.m. |
Created at: May 3, 2026, 4:32 p.m.