Triple
T34385920
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Malta in World War I |
E882553
|
entity |
| Predicate | treatedFrom |
P11553
|
FINISHED |
| Object | Gallipoli campaign |
—
|
NE NERFINISHED |
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: Gallipoli campaign | Statement: [Malta in World War I, treatedFrom, Gallipoli campaign]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: treatedFrom Context triple: [Malta in World War I, treatedFrom, Gallipoli campaign]
-
A.
treatedAt
Indicates that a person or patient received medical care or treatment at a particular healthcare facility or location.
-
B.
transmittedFrom
Indicates that something (such as information, a signal, or a disease) has been passed or conveyed from one source entity to another.
-
C.
treatmentOf
Indicates a relationship where one entity administers, provides, or is responsible for a therapeutic intervention directed toward another entity (typically a patient or condition).
-
D.
isFrom
chosen
Indicates that one entity originates, comes, or has been sent from another entity or source.
-
E.
convertedFrom
Indicates that one entity has been transformed or changed in form, type, or representation from another entity.
- 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_69f349c0219881909393bbbc1edc8161 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f7431c0eec81909ead443e07d75e18 |
completed | May 3, 2026, 12:44 p.m. |
| PD | Predicate disambiguation | batch_69f74143cf708190a12d487884298437 |
completed | May 3, 2026, 12:36 p.m. |
Created at: May 1, 2026, 1:59 a.m.