Triple
T5926938
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Katwa |
E131834
|
entity |
| Predicate | hasInternationalHealthInterventions |
P66746
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Katwa, hasInternationalHealthInterventions, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasInternationalHealthInterventions Context triple: [Katwa, hasInternationalHealthInterventions, yes]
-
A.
coordinatesInternationalHealth
Indicates organizing and aligning health-related activities, policies, or responses across multiple countries or international bodies.
-
B.
hasInternationalStatus
Indicates that an entity holds a recognized status, role, or standing at the international level rather than being limited to a single country or local jurisdiction.
-
C.
hasCountryOfRisk
Indicates that an entity is associated with a country where it faces significant exposure, vulnerability, or potential risk.
-
D.
hasContactTracingActivities
Indicates that an entity engages in or is associated with activities related to tracking and monitoring contacts of individuals, typically for disease exposure or transmission analysis.
-
E.
hasHealthCode
Indicates that an entity is associated with a specific health-related classification or status code.
- F. None of above. chosen
Provenance (4 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_69c0085b75e88190a632f9691f9da48b |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c03c9239e08190bff7ef2bd6d21ae0 |
completed | March 22, 2026, 7:01 p.m. |
| PD | Predicate disambiguation | batch_69c033541d108190a34d1fde2fe9dacb |
completed | March 22, 2026, 6:22 p.m. |
| PDg | Predicate description generation | batch_69c03c8d579081909d7b97fc9014b5d7 |
completed | March 22, 2026, 7:01 p.m. |
Created at: March 22, 2026, 4 p.m.