Triple

T19970044
Position Surface form Disambiguated ID Type / Status
Subject Syria Planum E480046 entity
Predicate mappedByInstrument P116302 FINISHED
Object MOLA
MOLA is the Mars Orbiter Laser Altimeter, a laser-ranging instrument on NASA’s Mars Global Surveyor spacecraft used to create detailed topographic maps of the Martian surface.
 E1404621 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: MOLA | Statement: [Syria Planum, mappedByInstrument, MOLA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: MOLA
Context triple: [Syria Planum, mappedByInstrument, MOLA]
  • A. MOLG
    MOLG is the stock ticker symbol for MOL Global, a Malaysia-based online classifieds and digital payments company.
  • B. Molivos
    Molivos is a picturesque coastal village on the Greek island of Lesbos, known for its medieval castle, traditional stone houses, and scenic harbor.
  • C. MOLIT
    MOLIT is the South Korean government ministry responsible for national land planning, transportation systems, infrastructure development, and urban policy.
  • D. Molion
    Molion is a minor figure in Greek mythology known primarily as one of the sons of Eurytus.
  • E. El Molo
    El Molo is a nearly extinct Cushitic language spoken by the El Molo people of northern Kenya along the shores of Lake Turkana.
  • 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: MOLA
Triple: [Syria Planum, mappedByInstrument, MOLA]
Generated description
MOLA is the Mars Orbiter Laser Altimeter, a laser-ranging instrument on NASA’s Mars Global Surveyor spacecraft used to create detailed topographic maps of the Martian surface.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: MOLA
Target entity description: MOLA is the Mars Orbiter Laser Altimeter, a laser-ranging instrument on NASA’s Mars Global Surveyor spacecraft used to create detailed topographic maps of the Martian surface.
  • A. MOLG
    MOLG is the stock ticker symbol for MOL Global, a Malaysia-based online classifieds and digital payments company.
  • B. Molivos
    Molivos is a picturesque coastal village on the Greek island of Lesbos, known for its medieval castle, traditional stone houses, and scenic harbor.
  • C. MOLIT
    MOLIT is the South Korean government ministry responsible for national land planning, transportation systems, infrastructure development, and urban policy.
  • D. Molion
    Molion is a minor figure in Greek mythology known primarily as one of the sons of Eurytus.
  • E. El Molo
    El Molo is a nearly extinct Cushitic language spoken by the El Molo people of northern Kenya along the shores of Lake Turkana.
  • 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_69d8e523c19881909f9197037200dde6 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65bc89b508190879d29bef546aac8 completed April 20, 2026, 5 p.m.
NED1 Entity disambiguation (via context triple) batch_6a07fdd37adc8190b997852563023b11 completed May 16, 2026, 5:17 a.m.
NEDg Description generation batch_6a07fe9021dc81909081c65135b57e8f completed May 16, 2026, 5:20 a.m.
NED2 Entity disambiguation (via description) batch_6a07ff024fa48190b0d68ad87dc25ef6 completed May 16, 2026, 5:22 a.m.
Created at: April 10, 2026, 1:54 p.m.