Triple

T2373364
Position Surface form Disambiguated ID Type / Status
Subject Great Observatories program E46138 entity
Predicate observatoryCount P38766 FINISHED
Object 4 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: 4 | Statement: [Great Observatories program, observatoryCount, 4]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: observatoryCount
Context triple: [Great Observatories program, observatoryCount, 4]
  • A. observatory
    Indicates a relationship where a facility or structure is used to observe, monitor, or study objects or phenomena, typically in astronomy or atmospheric science.
  • B. observatoryType
    Indicates the specific kind or category of observatory associated with an entity.
  • C. observatoryComplex
    Indicates a relationship where multiple observatory-related facilities or structures are grouped together as parts of a single, integrated observatory complex.
  • D. observatoryCode
    Indicates a code that uniquely identifies the observatory associated with an observation or measurement.
  • E. observatoryOperator
    Indicates that one entity operates, manages, or runs an observatory facility for another entity or in an official capacity.
  • 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_69a88a145268819083e2736cb835c696 completed March 4, 2026, 7:37 p.m.
NER Named-entity recognition batch_69abca4d89248190be7d712d5fa8382b completed March 7, 2026, 6:48 a.m.
PD Predicate disambiguation batch_69abc59d82f08190b7c36982d1ae783d completed March 7, 2026, 6:28 a.m.
PDg Predicate description generation batch_69abca4c937c8190b4dfca716b868d4f completed March 7, 2026, 6:48 a.m.
Created at: March 4, 2026, 7:56 p.m.