Triple

T27851039
Position Surface form Disambiguated ID Type / Status
Subject Gantt chart E703951 entity
Predicate hasDependencyType P76076 FINISHED
Object finish-to-start dependency 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: finish-to-start dependency | Statement: [Gantt chart, hasDependencyType, finish-to-start dependency]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasDependencyType
Context triple: [Gantt chart, hasDependencyType, finish-to-start dependency]
  • A. hasDependenceType chosen
    Indicates the specific kind or category of dependence that one entity has on another.
  • B. hasDependency
    Indicates that one entity relies on or requires another entity in order to function, exist, or be fulfilled.
  • C. hasAssociatedType
    Indicates that one entity is linked to another entity that specifies its type, category, or classification.
  • D. haveType
    Indicates that an entity belongs to or is classified under a specified type or category.
  • E. hasDependentSupport
    Indicates that one entity provides financial or material support for another entity who is recognized as a dependent.
  • 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_69ef840e614c8190a88cf9638c14a265 completed April 27, 2026, 3:43 p.m.
NER Named-entity recognition batch_69f7aa699d68819081ed363931894ab3 completed May 3, 2026, 8:04 p.m.
PD Predicate disambiguation batch_69f7a8cec6d48190bebfa884b2f938c0 completed May 3, 2026, 7:58 p.m.
Created at: April 27, 2026, 6:11 p.m.