Triple

T16920074
Position Surface form Disambiguated ID Type / Status
Subject Chryse Planitia E410422 entity
Predicate adjacentTo P224 FINISHED
Object Arabia Terra
Arabia Terra is a vast, heavily cratered highland region in the northern hemisphere of Mars, notable for its ancient terrain and geological diversity.
E1240652 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: Arabia Terra | Statement: [Chryse Planitia, adjacentTo, Arabia Terra]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Arabia Terra
Context triple: [Chryse Planitia, adjacentTo, Arabia Terra]
  • A. Arabian Peninsula
    The Arabian Peninsula is a vast, predominantly desert region in Western Asia that is considered the historical heartland of Arab culture and the birthplace of Islam.
  • B. Kertabhumi
    Kertabhumi was a Javanese ruler associated with the House of Rajasa, remembered as a monarch in the late Majapahit period of Indonesian history.
  • C. Tihama
    Tihama is a hot, low-lying coastal plain along the Red Sea, primarily in western Yemen and southwestern Saudi Arabia.
  • D. Terrasur
    Terrasur is a Chilean intercity passenger rail service operated under the state-owned railway company Empresa de los Ferrocarriles del Estado (EFE).
  • E. Nur Land
    Nur Land was a historical administrative district in the former Masovian Voivodeship of the Polish–Lithuanian Commonwealth, centered around the town of Nur.
  • 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: Arabia Terra
Triple: [Chryse Planitia, adjacentTo, Arabia Terra]
Generated description
Arabia Terra is a vast, heavily cratered highland region in the northern hemisphere of Mars, notable for its ancient terrain and geological diversity.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Arabia Terra
Target entity description: Arabia Terra is a vast, heavily cratered highland region in the northern hemisphere of Mars, notable for its ancient terrain and geological diversity.
  • A. Arabian Peninsula
    The Arabian Peninsula is a vast, predominantly desert region in Western Asia that is considered the historical heartland of Arab culture and the birthplace of Islam.
  • B. Kertabhumi
    Kertabhumi was a Javanese ruler associated with the House of Rajasa, remembered as a monarch in the late Majapahit period of Indonesian history.
  • C. Tihama
    Tihama is a hot, low-lying coastal plain along the Red Sea, primarily in western Yemen and southwestern Saudi Arabia.
  • D. Terrasur
    Terrasur is a Chilean intercity passenger rail service operated under the state-owned railway company Empresa de los Ferrocarriles del Estado (EFE).
  • E. Nur Land
    Nur Land was a historical administrative district in the former Masovian Voivodeship of the Polish–Lithuanian Commonwealth, centered around the town of Nur.
  • 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_69d886c7b1e481908c3766dfa8c13458 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3cded2f8481909a20cc08b47e922e completed April 18, 2026, 6:31 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00c7c2c9cc8190b6d59d0a8edd078d completed May 10, 2026, 6 p.m.
NEDg Description generation batch_6a00c8f445248190be5f3de196e40f1f completed May 10, 2026, 6:05 p.m.
NED2 Entity disambiguation (via description) batch_6a00cd2bbd9881909f5e216cb6262a72 completed May 10, 2026, 6:23 p.m.
Created at: April 10, 2026, 5:30 a.m.