Triple

T9837484
Position Surface form Disambiguated ID Type / Status
Subject Lunar Seismic Profiling Experiment E239139 entity
Predicate alsoKnownAs P39 FINISHED
Object LSPE
LSPE is a lunar science experiment designed to study the Moon’s internal structure by measuring and analyzing seismic activity on its surface.
E824740 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: LSPE | Statement: [Lunar Seismic Profiling Experiment, alsoKnownAs, LSPE]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: LSPE
Context triple: [Lunar Seismic Profiling Experiment, alsoKnownAs, LSPE]
  • A. LPE
    LPE is the ICAO airline designator for LATAM Perú, a Peruvian subsidiary of the LATAM Airlines Group operating domestic and regional flights.
  • B. LEPA
    LEPA is the ICAO airport code for Palma de Mallorca Airport, a major international airport in Spain’s Balearic Islands.
  • C. ES-LE
    ES-LE is the ISO 3166-2 subdivision code that identifies the province of León in Spain.
  • D. LSA
    LSA is the commonly used abbreviation for the University of Michigan’s College of Literature, Science, and the Arts, its largest and oldest academic unit offering a broad liberal arts education.
  • E. LSA
    LSA is the vehicle registration code used on license plates for the German federal state of Saxony-Anhalt.
  • 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: LSPE
Triple: [Lunar Seismic Profiling Experiment, alsoKnownAs, LSPE]
Generated description
LSPE is a lunar science experiment designed to study the Moon’s internal structure by measuring and analyzing seismic activity on its surface.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: LSPE
Target entity description: LSPE is a lunar science experiment designed to study the Moon’s internal structure by measuring and analyzing seismic activity on its surface.
  • A. LPE
    LPE is the ICAO airline designator for LATAM Perú, a Peruvian subsidiary of the LATAM Airlines Group operating domestic and regional flights.
  • B. LEPA
    LEPA is the ICAO airport code for Palma de Mallorca Airport, a major international airport in Spain’s Balearic Islands.
  • C. ES-LE
    ES-LE is the ISO 3166-2 subdivision code that identifies the province of León in Spain.
  • D. LSA
    LSA is the commonly used abbreviation for the University of Michigan’s College of Literature, Science, and the Arts, its largest and oldest academic unit offering a broad liberal arts education.
  • E. LSA
    LSA is the vehicle registration code used on license plates for the German federal state of Saxony-Anhalt.
  • 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_69ca84e314108190978324a4bdb959f8 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb347ff4c81908c312548a25bae71 completed April 2, 2026, 12:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1d5ccb28c8190a580767a57474557 completed April 5, 2026, 3:23 a.m.
NEDg Description generation batch_69d1d66e91c881909eae9d539f47bd99 completed April 5, 2026, 3:26 a.m.
NED2 Entity disambiguation (via description) batch_69d1d6dc0bd8819082a5ad417ca87a76 completed April 5, 2026, 3:28 a.m.
Created at: March 30, 2026, 8:33 p.m.