Triple

T28195044
Position Surface form Disambiguated ID Type / Status
Subject FEL-1 E716419 entity
Predicate sisterBeamline P164120 FINISHED
Object FEL-2 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: FEL-2 | Statement: [FEL-1, sisterBeamline, FEL-2]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: sisterBeamline
Context triple: [FEL-1, sisterBeamline, FEL-2]
  • A. sisterObservatory
    Indicates that two observatories are formally paired or linked as sister institutions, typically for collaboration or shared missions.
  • B. sisterLine
    Indicates that one entity is a sister of another within a family or genealogical relationship.
  • C. sisterBase
    Indicates that one entity is the sister of another, sharing at least one parent and being female relative to the other entity.
  • D. sisterStation
    Indicates that two broadcast stations are related as counterparts, typically serving different areas or platforms under common ownership or affiliation.
  • E. hasSisterTelescope
    Indicates that one telescope is considered a sister telescope to another, typically due to a close partnership, shared design, or coordinated observational role.
  • 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_69efd6b612f48190a72012b520afbd10 completed April 27, 2026, 9:35 p.m.
NER Named-entity recognition batch_69f642d058188190b71796a530a202f6 completed May 2, 2026, 6:30 p.m.
PD Predicate disambiguation batch_69f63c6c1a948190b68c0f92c264cc0c completed May 2, 2026, 6:03 p.m.
PDg Predicate description generation batch_69f63fd4f7448190930c723ba7cfce62 completed May 2, 2026, 6:17 p.m.
Created at: April 27, 2026, 10:27 p.m.