Triple
T13231328
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mbandaka |
E315024
|
entity |
| Predicate | hasPublicHealthHistory |
P37550
|
FINISHED |
| Object | Ebola virus disease outbreaks in Équateur Province |
—
|
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: Ebola virus disease outbreaks in Équateur Province | Statement: [Mbandaka, hasPublicHealthHistory, Ebola virus disease outbreaks in Équateur Province]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPublicHealthHistory Context triple: [Mbandaka, hasPublicHealthHistory, Ebola virus disease outbreaks in Équateur Province]
-
A.
hasHistoryOf
chosen
Indicates that an entity has a documented prior occurrence or background of a specified condition, event, or state.
-
B.
hadCondition
Indicates that an entity experienced or was diagnosed with a particular medical or health-related condition.
-
C.
hasHealthCode
Indicates that an entity is associated with a specific health-related classification or status code.
-
D.
hasInternationalHealthInterventions
Indicates that an entity implements, participates in, or is subject to health-related programs, actions, or measures that operate across national borders or involve international collaboration.
-
E.
hasHealthConcern
Indicates that an entity has a specific health-related issue, condition, or concern associated with it.
- 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_69d806affc688190a25b6ccc588e9c72 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98d34ff288190bdb550a019b7a470 |
completed | April 10, 2026, 11:52 p.m. |
| PD | Predicate disambiguation | batch_69d98bcb21648190aef241de1e7887e2 |
completed | April 10, 2026, 11:46 p.m. |
Created at: April 9, 2026, 9:22 p.m.