Triple

T1571234
Position Surface form Disambiguated ID Type / Status
Subject Kennedy Space Center Shuttle Landing Facility E33543 entity
Predicate alsoKnownAs P39 FINISHED
Object SLF
SLF is the Shuttle Landing Facility at NASA’s Kennedy Space Center, a specialized runway complex built for landing Space Shuttle orbiters and other aerospace vehicles.
 E179233 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: SLF | Statement: [Kennedy Space Center Shuttle Landing Facility, alsoKnownAs, SLF]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SLF
Context triple: [Kennedy Space Center Shuttle Landing Facility, alsoKnownAs, SLF]
  • A. SL
    The Mercedes-Benz SL is a long-running line of luxury grand touring roadsters renowned for combining high performance with elegant design and advanced technology.
  • B. SL
    SL is the public transport authority and brand responsible for operating and coordinating the mass transit system in the Stockholm region of Sweden.
  • C. SL
    SL is the vehicle registration code used for the Austrian municipality of Anif in the state of Salzburg.
  • D. SL2
    SL2 is a branch of Boston’s MBTA Silver Line bus rapid transit service that connects South Station with the Seaport and Design Center area.
  • E. SL1
    SL1 is a Boston bus rapid transit route on the MBTA Silver Line that connects downtown with Logan International Airport.
  • 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: SLF
Triple: [Kennedy Space Center Shuttle Landing Facility, alsoKnownAs, SLF]
Generated description
SLF is the Shuttle Landing Facility at NASA’s Kennedy Space Center, a specialized runway complex built for landing Space Shuttle orbiters and other aerospace vehicles.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SLF
Target entity description: SLF is the Shuttle Landing Facility at NASA’s Kennedy Space Center, a specialized runway complex built for landing Space Shuttle orbiters and other aerospace vehicles.
  • A. SL
    The Mercedes-Benz SL is a long-running line of luxury grand touring roadsters renowned for combining high performance with elegant design and advanced technology.
  • B. SL
    SL is the public transport authority and brand responsible for operating and coordinating the mass transit system in the Stockholm region of Sweden.
  • C. SL
    SL is the vehicle registration code used for the Austrian municipality of Anif in the state of Salzburg.
  • D. SL2
    SL2 is a branch of Boston’s MBTA Silver Line bus rapid transit service that connects South Station with the Seaport and Design Center area.
  • E. SL1
    SL1 is a Boston bus rapid transit route on the MBTA Silver Line that connects downtown with Logan International Airport.
  • 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_69a885f11b048190935025a035302715 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a908b836dc8190bdf3d4eda7d00dd8 completed March 5, 2026, 4:38 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad40263ef08190a968f6c822b5d483 completed March 8, 2026, 9:23 a.m.
NEDg Description generation batch_69ad40cb84d081908c6e1651989de716 completed March 8, 2026, 9:26 a.m.
NED2 Entity disambiguation (via description) batch_69ad41b1192c81909b89013d8296fd22 completed March 8, 2026, 9:30 a.m.
Created at: March 4, 2026, 7:27 p.m.