Triple

T4691922
Position Surface form Disambiguated ID Type / Status
Subject MAAT – Museum of Art, Architecture and Technology E104052 entity
Predicate shortName P43 FINISHED
Object MAAT
MAAT is a contemporary museum in Lisbon, Portugal, dedicated to exploring the intersection of visual arts, architecture, and technology.
 E464568 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: MAAT | Statement: [MAAT – Museum of Art, Architecture and Technology, shortName, MAAT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: MAAT
Context triple: [MAAT – Museum of Art, Architecture and Technology, shortName, MAAT]
  • A. Maatkare
    Maatkare was the throne name of the ancient Egyptian pharaoh Hatshepsut, one of the most powerful and prominent female rulers of the New Kingdom.
  • B. Maat
    Maat is the ancient Egyptian goddess and personification of truth, justice, balance, and cosmic order, central to both mythology and pharaonic law.
  • C. Thoth
    Thoth is the ancient Egyptian god of writing, wisdom, magic, and the moon, often depicted as an ibis-headed scribe of the gods.
  • D. Swenet
    Swenet is the ancient Egyptian city known to the Greeks as Syene, located at modern-day Aswan near Egypt’s southern frontier.
  • E. Tamyen
    Tamyen is an extinct Ohlone (Costanoan) Native American language once spoken in the Santa Clara Valley region of California.
  • 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: MAAT
Triple: [MAAT – Museum of Art, Architecture and Technology, shortName, MAAT]
Generated description
MAAT is a contemporary museum in Lisbon, Portugal, dedicated to exploring the intersection of visual arts, architecture, and technology.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: MAAT
Target entity description: MAAT is a contemporary museum in Lisbon, Portugal, dedicated to exploring the intersection of visual arts, architecture, and technology.
  • A. Maatkare
    Maatkare was the throne name of the ancient Egyptian pharaoh Hatshepsut, one of the most powerful and prominent female rulers of the New Kingdom.
  • B. Maat
    Maat is the ancient Egyptian goddess and personification of truth, justice, balance, and cosmic order, central to both mythology and pharaonic law.
  • C. Thoth
    Thoth is the ancient Egyptian god of writing, wisdom, magic, and the moon, often depicted as an ibis-headed scribe of the gods.
  • D. Swenet
    Swenet is the ancient Egyptian city known to the Greeks as Syene, located at modern-day Aswan near Egypt’s southern frontier.
  • E. Tamyen
    Tamyen is an extinct Ohlone (Costanoan) Native American language once spoken in the Santa Clara Valley region of California.
  • 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_69bd43df91f481908e9add1b617b60ef completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd639c94608190808e535d0abd08a0 completed March 20, 2026, 3:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69be105a709c819083504fe1dc1612d8 completed March 21, 2026, 3:28 a.m.
NEDg Description generation batch_69be1278af588190832bcb037d18aa8f completed March 21, 2026, 3:37 a.m.
NED2 Entity disambiguation (via description) batch_69be12d51db08190aca8c36972ea6e4e completed March 21, 2026, 3:39 a.m.
Created at: March 20, 2026, 1:16 p.m.