Triple
T10285394
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Casablanca, French Morocco |
E241212
|
entity |
| Predicate | wasNodeIn |
P20548
|
FINISHED |
| Object | refugee escape routes from Europe to the Americas |
—
|
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: refugee escape routes from Europe to the Americas | Statement: [Casablanca, French Morocco, wasNodeIn, refugee escape routes from Europe to the Americas]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wasNodeIn Context triple: [Casablanca, French Morocco, wasNodeIn, refugee escape routes from Europe to the Americas]
-
A.
wasIn
Indicates that an entity existed, occurred, or was located within a particular place or context during a specified time or situation.
-
B.
isKeyNodeIn
chosen
Indicates that a node serves as a primary or critical element within a specified structure, system, or context.
-
C.
wasAmong
Indicates that an entity belonged to, was included in, or was part of a particular group, set, or collection.
-
D.
wereInternedBy
Indicates that an entity was forcibly confined, detained, or held in an internment facility by another entity (typically an authority or government).
-
E.
wasLast
Indicates that one entity occurred or appeared after all others in a sequence, making it the final item or event.
- 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_69d381aaafc08190af475ef58dc16aba |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d7ccb7ec8190a538cf279e48116e |
completed | April 7, 2026, 10:09 a.m. |
| PD | Predicate disambiguation | batch_69d4d1f117708190928f92ae2611d724 |
completed | April 7, 2026, 9:44 a.m. |
Created at: April 6, 2026, 11:40 a.m.