Triple

T4994009
Position Surface form Disambiguated ID Type / Status
Subject Opportunity E112200 entity
Predicate alsoKnownAs P39 FINISHED
Object MER-B
MER-B, better known as Opportunity, was a NASA Mars Exploration Rover that conducted a long-duration mission on Mars, vastly exceeding its planned lifespan and providing extensive geological and atmospheric data.
 E484836 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: MER-B | Statement: [Opportunity, alsoKnownAs, MER-B]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: MER-B
Context triple: [Opportunity, alsoKnownAs, MER-B]
  • A. MER (historical)
    MER (historical) is a former abbreviation associated with the German professional ice hockey club Adler Mannheim, used in earlier periods of the team’s history.
  • B. Merkens
    Merkens is a German surname most notably associated with Olympic track cyclist Toni Merkens.
  • C. MOR
    MOR is the ICAO airline designator assigned to the former U.S. low-fare carrier Morris Air.
  • D. M&R
    M&R is the commonly used abbreviation for Murray & Roberts, a South African engineering and construction services company.
  • E. MUR
    MUR is the stock ticker symbol for Murray & Roberts Holdings Ltd, a South African engineering and construction services company listed on the Johannesburg Stock Exchange.
  • 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: MER-B
Triple: [Opportunity, alsoKnownAs, MER-B]
Generated description
MER-B, better known as Opportunity, was a NASA Mars Exploration Rover that conducted a long-duration mission on Mars, vastly exceeding its planned lifespan and providing extensive geological and atmospheric data.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: MER-B
Target entity description: MER-B, better known as Opportunity, was a NASA Mars Exploration Rover that conducted a long-duration mission on Mars, vastly exceeding its planned lifespan and providing extensive geological and atmospheric data.
  • A. MER (historical)
    MER (historical) is a former abbreviation associated with the German professional ice hockey club Adler Mannheim, used in earlier periods of the team’s history.
  • B. Merkens
    Merkens is a German surname most notably associated with Olympic track cyclist Toni Merkens.
  • C. MOR
    MOR is the ICAO airline designator assigned to the former U.S. low-fare carrier Morris Air.
  • D. M&R
    M&R is the commonly used abbreviation for Murray & Roberts, a South African engineering and construction services company.
  • E. MUR
    MUR is the Italian Ministry responsible for national policies on universities, higher education, and scientific and technological research.
  • 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_69bd4432b32c81909f3b3c6bd10f0653 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd729e9fb48190a467b6a373a73367 completed March 20, 2026, 4:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69be8a30bb988190939e1ca5226e1dd4 completed March 21, 2026, 12:08 p.m.
NEDg Description generation batch_69be8b15879881908ec5ee997daca3cb completed March 21, 2026, 12:12 p.m.
NED2 Entity disambiguation (via description) batch_69be8bc2fc088190a13995f9230adea2 completed March 21, 2026, 12:14 p.m.
Created at: March 20, 2026, 1:34 p.m.