Triple

T23801776
Position Surface form Disambiguated ID Type / Status
Subject Nirenberg problem E588691 entity
Predicate hasObstructions P153605 FINISHED
Object Kazdan–Warner identity 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: Kazdan–Warner identity | Statement: [Nirenberg problem, hasObstructions, Kazdan–Warner identity]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasObstructions
Context triple: [Nirenberg problem, hasObstructions, Kazdan–Warner identity]
  • A. hasObstacleType
    Indicates that an entity is associated with or characterized by a specific type or category of obstacle.
  • B. hasObjectiveHazards
    Indicates that an entity is associated with concrete, externally verifiable dangers or risks.
  • C. hasNavigationHazard
    Indicates that something presents or contains a condition, object, or feature that poses a risk or obstacle to safe navigation.
  • D. obstacles
    Indicates that one entity presents barriers, hindrances, or impediments that block or restrict another entity’s progress, action, or interaction.
  • E. isBarrierTo
    Indicates that one entity obstructs, prevents, or significantly hinders another entity from occurring, progressing, or being accessed.
  • 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_69e25d15db58819092ac1e6791696fd9 completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f1c74e430481909debd10c71785912 completed April 29, 2026, 8:54 a.m.
PD Predicate disambiguation batch_69f155fe300481909bd617443228df65 completed April 29, 2026, 12:51 a.m.
PDg Predicate description generation batch_69f15adb23d88190ac2632299c26a9b3 completed April 29, 2026, 1:11 a.m.
Created at: April 17, 2026, 7:53 p.m.