Triple
T38271980
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | IF |
E1021234
|
entity |
| Predicate | assigneeFullName |
P190595
|
FINISHED |
| Object | Interflug, the former national airline of East Germany |
—
|
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: Interflug, the former national airline of East Germany | Statement: [IF, assigneeFullName, Interflug, the former national airline of East Germany]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: assigneeFullName Context triple: [IF, assigneeFullName, Interflug, the former national airline of East Germany]
-
A.
assignedTo
Indicates that responsibility for a task, item, or role has been designated to a specific entity.
-
B.
assignedToTitle
Indicates that an entity is assigned to a role or position identified by a specific title.
-
C.
assignedToKey
Indicates that something has been allocated or bound specifically to a particular key as its identifier or reference.
-
D.
assignedAs
Indicates that one entity is designated or appointed to perform a specific role, task, or function in relation to another entity.
-
E.
historicallyAssignedTo
Indicates that something was associated with or allocated to a particular entity during a past period, but may no longer be so in the present.
- 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_69f76dee198c8190bf5109421e47a658 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fccbd826708190b5fab12c4236299a |
completed | May 7, 2026, 5:28 p.m. |
| PD | Predicate disambiguation | batch_69fcc58838e08190b8fa54aa5c165f2d |
completed | May 7, 2026, 5:02 p.m. |
| PDg | Predicate description generation | batch_69fccbd6b7688190b746803cf78d5704 |
completed | May 7, 2026, 5:28 p.m. |
Created at: May 3, 2026, 4:30 p.m.