Triple

T6927437
Position Surface form Disambiguated ID Type / Status
Subject Haabʼ E160346 entity
Predicate timeReckoningSystem P15775 FINISHED
Object Maya timekeeping 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: Maya timekeeping | Statement: [Haabʼ, timeReckoningSystem, Maya timekeeping]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: timeReckoningSystem
Context triple: [Haabʼ, timeReckoningSystem, Maya timekeeping]
  • A. timeSystem chosen
    Indicates a relationship where an entity uses, follows, or is defined within a particular system for measuring or organizing time.
  • B. timeBehind
    Indicates that one entity occurs or is positioned later in time than another, lagging behind it on a temporal scale.
  • C. timeExistence
    Indicates the period or duration during which an entity exists or is valid.
  • D. timeEquivalentOf
    Indicates that two temporal entities represent the same point in time or duration, possibly expressed in different formats or units.
  • E. timeCoordinateType
    Indicates the specific temporal reference system or framework used to define and interpret time coordinates for an event or entity.
  • 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_69c6884d350081908d8a970e4d40ad78 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6da1bf2088190a8ccfa01d9a1efc5 completed March 27, 2026, 7:27 p.m.
PD Predicate disambiguation batch_69c6d7bb577c81908ee8b415b4281f3d completed March 27, 2026, 7:17 p.m.
Created at: March 27, 2026, 2:27 p.m.