Triple

T26033810
Position Surface form Disambiguated ID Type / Status
Subject Hamas 2017 political document E647499 entity
Predicate acceptsStateOn P159889 FINISHED
Object 1967 borders 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: 1967 borders | Statement: [Hamas 2017 political document, acceptsStateOn, 1967 borders]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: acceptsStateOn
Context triple: [Hamas 2017 political document, acceptsStateOn, 1967 borders]
  • A. laterAccepts
    Indicates that one entity accepts, approves, or agrees to something at a time subsequent to a referenced earlier point or event.
  • B. acceptingStatesSymbol
    Indicates that a given symbol is associated with one or more accepting (final) states in an automaton or state-transition system.
  • C. admittedState
    Indicates that an entity has been formally accepted or allowed into a particular state or condition.
  • D. inState
    Indicates that an entity is currently located within or belongs to a particular state or condition.
  • E. receivingState
    Indicates that one entity serves as the recipient or destination of something (such as an object, message, or person) from another entity.
  • 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_69e77e8b60e88190a3b26c4f0032a2c2 completed April 21, 2026, 1:41 p.m.
NER Named-entity recognition batch_69f6061bfb248190af47ba49de93abfc completed May 2, 2026, 2:11 p.m.
PD Predicate disambiguation batch_69f5aff889988190ad10bcf1a280f717 completed May 2, 2026, 8:04 a.m.
PDg Predicate description generation batch_69f5f6b32a8881909baa0db57b80d56a completed May 2, 2026, 1:05 p.m.
Created at: April 22, 2026, 9:06 a.m.