Triple

T37163431
Position Surface form Disambiguated ID Type / Status
Subject WWDC live streams E920734 entity
Predicate timeAlignment P53617 FINISHED
Object synchronized with in‑person WWDC schedule 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: synchronized with in‑person WWDC schedule | Statement: [WWDC live streams, timeAlignment, synchronized with in‑person WWDC schedule]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: timeAlignment
Context triple: [WWDC live streams, timeAlignment, synchronized with in‑person WWDC schedule]
  • A. timeCorrelation
    Indicates that two events or states are related in time such that changes or occurrences in one are systematically associated with changes or occurrences in the other.
  • B. timeCoordinate
    Indicates a relationship where a specific time value is used to locate or reference an event, state, or object along a temporal axis or timeline.
  • C. timeBehind
    Indicates that one entity occurs or is positioned later in time than another, lagging behind it on a temporal scale.
  • D. timingStandard chosen
    Indicates that one entity specifies or conforms to the timing rules, constraints, or reference schedule defined by another entity.
  • E. timeInterpretation
    Indicates how a given temporal expression or event should be understood or interpreted in terms of time (e.g., its reference point, scope, or temporal role).
  • 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_69f76ea0429081908c711b55599eac3c completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69fb55de3b9c8190a7656aeab3c3ffbc completed May 6, 2026, 2:53 p.m.
PD Predicate disambiguation batch_69fb35bc92e08190bff447624e2df791 completed May 6, 2026, 12:36 p.m.
Created at: May 3, 2026, 4:15 p.m.