Triple

T20391750
Position Surface form Disambiguated ID Type / Status
Subject Andoria E498101 entity
Predicate capital P234 FINISHED
Object Laibok
Laibok is the principal city and governmental center of the Andorian homeworld in the Star Trek universe.
 E1427860 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: Laibok | Statement: [Andoria, capital, Laibok]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Laibok
Context triple: [Andoria, capital, Laibok]
  • A. Laibin
    Laibin is a prefecture-level city in south-central China known for its role as a regional transportation hub and its mix of industrial and agricultural development.
  • B. Lindinis
    Lindinis is the Roman-era name for the town now known as Ilchester in Somerset, England, which served as an important settlement in Roman Britain.
  • C. Ruklys
    Ruklys was a son of King Mindaugas of Lithuania, known primarily from medieval historical records of the Lithuanian royal family.
  • D. Rausu
    Rausu is a small coastal town on Japan’s Shiretoko Peninsula, known for its rich marine wildlife, drift ice sightseeing, and access to the remote natural landscapes of eastern Hokkaido.
  • E. Lielupe
    Lielupe is a major river in central Latvia that flows into the Gulf of Riga and is known for its wide floodplain and role in regional agriculture and transport.
  • 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: Laibok
Triple: [Andoria, capital, Laibok]
Generated description
Laibok is the principal city and governmental center of the Andorian homeworld in the Star Trek universe.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Laibok
Target entity description: Laibok is the principal city and governmental center of the Andorian homeworld in the Star Trek universe.
  • A. Laibin
    Laibin is a prefecture-level city in south-central China known for its role as a regional transportation hub and its mix of industrial and agricultural development.
  • B. Lindinis
    Lindinis is the Roman-era name for the town now known as Ilchester in Somerset, England, which served as an important settlement in Roman Britain.
  • C. Ruklys
    Ruklys was a son of King Mindaugas of Lithuania, known primarily from medieval historical records of the Lithuanian royal family.
  • D. Rausu
    Rausu is a small coastal town on Japan’s Shiretoko Peninsula, known for its rich marine wildlife, drift ice sightseeing, and access to the remote natural landscapes of eastern Hokkaido.
  • E. Lielupe
    Lielupe is a major river in central Latvia that flows into the Gulf of Riga and is known for its wide floodplain and role in regional agriculture and transport.
  • 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_69e0b4a71ebc8190b153a36c738730f4 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e679108b1481909677cf80e8e77e76 completed April 20, 2026, 7:05 p.m.
NED1 Entity disambiguation (via context triple) batch_6a087624308c819095fbdddf56d86e7b completed May 16, 2026, 1:50 p.m.
NEDg Description generation batch_6a0877441fc88190a6308238638eb6d3 completed May 16, 2026, 1:55 p.m.
NED2 Entity disambiguation (via description) batch_6a0877eba3f88190a8e3752a1299404e completed May 16, 2026, 1:58 p.m.
Created at: April 16, 2026, 11:28 a.m.