Triple

T18772579
Position Surface form Disambiguated ID Type / Status
Subject Milky Way open cluster system E459051 entity
Predicate containsOldPopulations P132910 FINISHED
Object yes 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: yes | Statement: [Milky Way open cluster system, containsOldPopulations, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: containsOldPopulations
Context triple: [Milky Way open cluster system, containsOldPopulations, yes]
  • A. formerPopulation
    Indicates that an entity once had a certain population value or size during a past time period but no longer does.
  • B. hasPopulationContinuity
    Indicates that a population in one place or time is directly and continuously derived from, or persists as, a population in another place or time without significant interruption or replacement.
  • C. lastKnownPopulations
    Indicates the most recently recorded population counts associated with an entity or set of entities.
  • D. hasDependentPopulation
    Indicates that an entity has a population of individuals who are economically or socially dependent on others for support.
  • E. historicalPopulationCharacteristic
    Indicates a relationship where an entity is associated with a demographic or population-related attribute that held true during a specific historical period.
  • 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_69d8d395dba0819087568404508590cb completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e59336a6b08190819595a55177264e completed April 20, 2026, 2:45 a.m.
PD Predicate disambiguation batch_69e48d1126e4819099607837ed5aadca completed April 19, 2026, 8:06 a.m.
PDg Predicate description generation batch_69e49785fd7081909577e90a55df0a35 completed April 19, 2026, 8:51 a.m.
Created at: April 10, 2026, 11:52 a.m.