Triple

T23884410
Position Surface form Disambiguated ID Type / Status
Subject GMT correlation E600288 entity
Predicate calendarTypeLinked P153938 FINISHED
Object Maya Tzolk’in 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: Maya Tzolk’in | Statement: [GMT correlation, calendarTypeLinked, Maya Tzolk’in]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: calendarTypeLinked
Context triple: [GMT correlation, calendarTypeLinked, Maya Tzolk’in]
  • A. calendarLinkedTo
    Indicates that one calendar is connected or synchronized with another calendar or calendaring system so that events or updates can be shared or reflected between them.
  • B. calendarAssociation
    Indicates a relationship where one entity is linked to or associated with a particular calendar or calendaring context (such as events, schedules, or timeframes).
  • C. calendarDependence
    Indicates that one event, action, or condition is determined, constrained, or triggered by a specific date, time, or calendar schedule.
  • D. calendarType
    Indicates the type or system of calendar associated with an entity (e.g., Gregorian, lunar, fiscal).
  • E. associatedMeeting
    Indicates a relationship where one entity is linked or connected to a particular meeting, typically as the meeting that is relevant or related to it.
  • 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_69e295318e148190b9979d8fc02e168f completed April 17, 2026, 8:16 p.m.
NER Named-entity recognition batch_69f1ccfbbe4c819093e590709719ab72 completed April 29, 2026, 9:18 a.m.
PD Predicate disambiguation batch_69f1614e24b48190a1c8fb5b7c75ee0f completed April 29, 2026, 1:39 a.m.
PDg Predicate description generation batch_69f167dca3608190ace9d2eef56b2af6 completed April 29, 2026, 2:07 a.m.
Created at: April 17, 2026, 8:24 p.m.