Triple

T29274960
Position Surface form Disambiguated ID Type / Status
Subject American Jewish politics E742221 entity
Predicate hasDominantOrientation P171811 FINISHED
Object liberal 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: liberal | Statement: [American Jewish politics, hasDominantOrientation, liberal]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasDominantOrientation
Context triple: [American Jewish politics, hasDominantOrientation, liberal]
  • A. hasOrientation
    Indicates that one entity is positioned or directed in a specific spatial or conceptual alignment relative to a reference frame or another entity.
  • B. hasLongTermOrientation
    Indicates a relationship where an entity emphasizes long-term planning, future rewards, and sustained commitments over immediate or short-term gains.
  • C. hasOrientationInUse
    Indicates that an entity, when in use or operation, is oriented in a specific direction or spatial alignment.
  • D. hasAestheticOrientation
    Indicates that an entity holds or exhibits a particular aesthetic preference, style, or orientation in relation to another entity or concept.
  • E. hasDominantLines
    Indicates that one element in a pair exhibits stronger, more prominent, or controlling linear features relative to the other.
  • 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_69f0912124d48190a046642b69407f4c completed April 28, 2026, 10:51 a.m.
NER Named-entity recognition batch_69f6a28c7c148190bfc980aad9f678ca completed May 3, 2026, 1:19 a.m.
PD Predicate disambiguation batch_69f69fe1e3c88190830bb2e9f407357e completed May 3, 2026, 1:07 a.m.
PDg Predicate description generation batch_69f6a28b8ea881908733485374771c51 completed May 3, 2026, 1:19 a.m.
Created at: April 28, 2026, 12:50 p.m.