Triple

T33900041
Position Surface form Disambiguated ID Type / Status
Subject Messier 72 E869020 entity
Predicate observedBestIn P150574 FINISHED
Object September 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: September | Statement: [Messier 72, observedBestIn, September]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: observedBestIn
Context triple: [Messier 72, observedBestIn, September]
  • A. bestObservedWith
    Indicates that one entity is most effectively or appropriately observed, detected, or measured when used or considered together with another specified entity.
  • B. isObservedBestFrom
    Indicates that something is most favorably or clearly seen, perceived, or measured from a particular viewpoint, location, or context compared to other alternatives.
  • C. observationBestTime chosen
    Indicates that there is an identified optimal or most suitable time period during which the observation of something should be made.
  • D. bestOnBest
    Indicates that the relationship or action occurs under conditions where each side is using its strongest or highest-performing option against the other's strongest or highest-performing option.
  • E. bestOf
    Indicates that one entity is the top-ranked or most outstanding member within a specified group, set, or collection.
  • 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_69f34997703c8190866b1d404bce531f completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69f7051ad6e4819095e82bbd64761803 completed May 3, 2026, 8:19 a.m.
PD Predicate disambiguation batch_69f700fe24e08190998e2c96fbaaad38 completed May 3, 2026, 8:02 a.m.
Created at: May 1, 2026, 1:48 a.m.