Triple

T5197862
Position Surface form Disambiguated ID Type / Status
Subject LDSS3 E117315 entity
Predicate successorTo P78 FINISHED
Object LDSS-2
LDSS-2 is an earlier-generation astronomical imaging spectrograph that was later replaced by the more advanced LDSS3 instrument.
E502043 NE FINISHED

How this triple was built (4 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: LDSS-2 | Statement: [LDSS3, successorTo, LDSS-2]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: LDSS-2
Context triple: [LDSS3, successorTo, LDSS-2]
  • A. LDSS3
    LDSS3 is a wide-field, multi-object spectrograph and imaging instrument used on the Magellan Telescopes for detailed optical observations of faint astronomical objects.
  • B. LSS
    LSS is the station code for LaSalle Street Station, a major commuter rail terminal in downtown Chicago, Illinois.
  • C. LS2
    LS2 is a mid-level trim variant of the Saturn L-Series midsize sedan, offering additional comfort and convenience features over the base model.
  • D. DSS
    DSS is the IATA airport code for Blaise Diagne International Airport, the main international gateway serving Dakar, Senegal.
  • E. DSS
    DSS is the abbreviated name of the Securitate, the notorious secret police service of Communist Romania.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: LDSS-2
Triple: [LDSS3, successorTo, LDSS-2]
Generated description
LDSS-2 is an earlier-generation astronomical imaging spectrograph that was later replaced by the more advanced LDSS3 instrument.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: LDSS-2
Target entity description: LDSS-2 is an earlier-generation astronomical imaging spectrograph that was later replaced by the more advanced LDSS3 instrument.
  • A. LDSS3
    LDSS3 is a wide-field, multi-object spectrograph and imaging instrument used on the Magellan Telescopes for detailed optical observations of faint astronomical objects.
  • B. LSS
    LSS is the station code for LaSalle Street Station, a major commuter rail terminal in downtown Chicago, Illinois.
  • C. LS2
    LS2 is a mid-level trim variant of the Saturn L-Series midsize sedan, offering additional comfort and convenience features over the base model.
  • D. DSS
    DSS is the IATA airport code for Blaise Diagne International Airport, the main international gateway serving Dakar, Senegal.
  • E. DSS
    DSS is the abbreviated name of the Securitate, the notorious secret police service of Communist Romania.
  • F. None of above. chosen

Provenance (5 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_69bd4462ed04819084fcb01eb9d2fa74 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7a1dbf7881909ed596ffdd1219bb completed March 20, 2026, 4:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69bee0a115048190b7f02b5449c444d7 completed March 21, 2026, 6:17 p.m.
NEDg Description generation batch_69bee67ecec08190aa3e2ae7bf1eef9b completed March 21, 2026, 6:42 p.m.
NED2 Entity disambiguation (via description) batch_69bee6e8bbcc819094f5f04743eb4013 completed March 21, 2026, 6:43 p.m.
Created at: March 20, 2026, 1:46 p.m.