Triple

T33559034
Position Surface form Disambiguated ID Type / Status
Subject Article 81 EC Treaty E859561 entity
Predicate successorText P61936 FINISHED
Object Article 101 Treaty on the Functioning of the European Union 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: Article 101 Treaty on the Functioning of the European Union | Statement: [Article 81 EC Treaty, successorText, Article 101 Treaty on the Functioning of the European Union]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: successorText
Context triple: [Article 81 EC Treaty, successorText, Article 101 Treaty on the Functioning of the European Union]
  • A. successor
    Indicates that one entity directly follows another in an ordered sequence or position.
  • B. successorInText chosen
    Indicates that one text element directly follows another in the sequential order of a text.
  • C. successorLabel
    Indicates that one entity is the direct successor or next in sequence to another entity, often inheriting its role, position, or label.
  • D. successorSee
    Indicates that one entity assumes or continues the role, position, or function previously held by another.
  • E. successorCharacter
    Indicates that one character directly follows another in a sequence, such as in text, ordering, or narrative progression.
  • 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_69f3497b2b68819093207971b5e13dc8 completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69ff9d9cb4f8819083682be3c483b599 completed May 9, 2026, 8:48 p.m.
PD Predicate disambiguation batch_69ff9c38bf9c8190bbb85b32f3ae3d2e completed May 9, 2026, 8:42 p.m.
Created at: May 1, 2026, 1:40 a.m.