Triple

T4922539
Position Surface form Disambiguated ID Type / Status
Subject Merab E110498 entity
Predicate marriagePromiseCondition P43165 FINISHED
Object David’s military service against the Philistines 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: David’s military service against the Philistines | Statement: [Merab, marriagePromiseCondition, David’s military service against the Philistines]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: marriagePromiseCondition
Context triple: [Merab, marriagePromiseCondition, David’s military service against the Philistines]
  • A. marriageClauseCondition chosen
    Indicates that a specific condition or set of conditions related to a marriage clause must be satisfied for the associated legal or contractual effect to apply.
  • B. acceptsMarriageTo
    Indicates that one entity formally agrees to enter into a marriage with another entity.
  • C. marriageContext
    Indicates the situational or cultural circumstances under which a marriage occurs or exists, such as legal, social, or religious conditions surrounding the marital relationship.
  • D. marriageType
    Indicates the specific legal or social category of a marriage relationship that exists between two spouses.
  • E. hasMarriage
    Indicates a marital relationship exists between the two entities, specifying that they are or were legally married to each other.
  • 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_69bd4413f9908190afcff44d7929cc4c completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6ffc2ab08190992db2400562bcee completed March 20, 2026, 4:04 p.m.
PD Predicate disambiguation batch_69bd6c3421588190ab08e92b9558042e completed March 20, 2026, 3:48 p.m.
Created at: March 20, 2026, 1:30 p.m.