Triple

T11740822
Position Surface form Disambiguated ID Type / Status
Subject Mülhausen, Alsace-Lorraine, German Empire E279147 entity
Predicate returnContext P50552 FINISHED
Object after World War I 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: after World War I | Statement: [Mülhausen, Alsace-Lorraine, German Empire, returnContext, after World War I]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: returnContext
Context triple: [Mülhausen, Alsace-Lorraine, German Empire, returnContext, after World War I]
  • A. comebackContext
    Indicates the situational background, circumstances, or prior events that frame or motivate a comeback or return.
  • B. originContext
    Indicates the situational or environmental circumstances from which an entity, event, or piece of information originates.
  • C. closureContext
    Indicates the surrounding scope or environment in which an operation, expression, or function is defined and executed, capturing the variables and bindings available to it.
  • D. recaptureContext chosen
    Indicates that a previously established context or situation is being regained or restored after it was lost, interrupted, or diminished.
  • E. returnService
    Indicates a relationship where a service that was previously provided is being sent back, reversed, or requested to be undone or refunded.
  • 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_69d6aaffec6881908bead509e8621742 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a4f025f88190a39280806c9d7c33 completed April 10, 2026, 7:21 a.m.
PD Predicate disambiguation batch_69d88a813cc48190a3dfdc60e8af80ae completed April 10, 2026, 5:28 a.m.
Created at: April 8, 2026, 9:41 p.m.