Triple

T2856292
Position Surface form Disambiguated ID Type / Status
Subject Facebook (Meta) headquarters E63207 entity
Predicate hasBuilding P105 FINISHED
Object MPK23
MPK23 is one of the main office buildings on Meta’s Menlo Park headquarters campus, housing a significant portion of the company’s workforce and operations.
 E309378 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: MPK23 | Statement: [Facebook (Meta) headquarters, hasBuilding, MPK23]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: MPK23
Context triple: [Facebook (Meta) headquarters, hasBuilding, MPK23]
  • A. MPK22
    MPK22 is a major office building within Meta's Menlo Park headquarters campus, known for housing a significant portion of the company's workforce and operations.
  • B. MPK20
    MPK20 is a major office building on Meta’s Menlo Park campus, known for its expansive, park-like rooftop and open-plan workspace designed to house thousands of employees.
  • C. MPK21
    MPK21 is a major office building on Meta’s Menlo Park campus, known for its expansive, park-like rooftop and open-plan workspace designed to foster collaboration.
  • D. MK 2
    MK 2 is the small natural satellite orbiting the distant dwarf planet Makemake in the Kuiper Belt.
  • E. KMK
    KMK is the central coordinating body of Germany’s state education and cultural ministers, responsible for harmonizing policies across the federal states.
  • 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: MPK23
Triple: [Facebook (Meta) headquarters, hasBuilding, MPK23]
Generated description
MPK23 is one of the main office buildings on Meta’s Menlo Park headquarters campus, housing a significant portion of the company’s workforce and operations.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: MPK23
Target entity description: MPK23 is one of the main office buildings on Meta’s Menlo Park headquarters campus, housing a significant portion of the company’s workforce and operations.
  • A. MPK22
    MPK22 is a major office building within Meta's Menlo Park headquarters campus, known for housing a significant portion of the company's workforce and operations.
  • B. MPK20
    MPK20 is a major office building on Meta’s Menlo Park campus, known for its expansive, park-like rooftop and open-plan workspace designed to house thousands of employees.
  • C. MPK21
    MPK21 is a major office building on Meta’s Menlo Park campus, known for its expansive, park-like rooftop and open-plan workspace designed to foster collaboration.
  • D. MK 2
    MK 2 is the small natural satellite orbiting the distant dwarf planet Makemake in the Kuiper Belt.
  • E. KMK
    KMK is the central coordinating body of Germany’s state education and cultural ministers, responsible for harmonizing policies across the federal states.
  • 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_69ab4c41e8c08190a9e8f5249cc12610 completed March 6, 2026, 9:50 p.m.
NER Named-entity recognition batch_69abdf62308081908a65decdd5d6f918 completed March 7, 2026, 8:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69b055e0c8088190a0fa67c9c14fc29b completed March 10, 2026, 5:33 p.m.
NEDg Description generation batch_69b0639974448190b59b6d8ed951f69f completed March 10, 2026, 6:31 p.m.
NED2 Entity disambiguation (via description) batch_69b063f9172481908e68c97059cf4b89 completed March 10, 2026, 6:33 p.m.
Created at: March 6, 2026, 10:02 p.m.