Triple

T4127141
Position Surface form Disambiguated ID Type / Status
Subject SLIM E92752 entity
Predicate acronym P43 FINISHED
Object SLIM
SLIM is a Japanese lunar lander mission developed by JAXA to demonstrate high-precision, lightweight Moon-landing technology.
 E415017 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: SLIM | Statement: [SLIM, acronym, SLIM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SLIM
Context triple: [SLIM, acronym, SLIM]
  • A. Slim
    Slim is the tall, sarcastic stick insect who performs as a reluctant clown in the circus troupe in Pixar's animated film "A Bug's Life."
  • B. Slim
    Slim is a highly respected, compassionate, and insightful mule driver on the ranch in John Steinbeck’s novel "Of Mice and Men," often serving as a moral authority among the workers.
  • C. SL1
    SL1 is a Boston bus rapid transit route on the MBTA Silver Line that connects downtown with Logan International Airport.
  • D. Thinline
    Thinline is a slim, portable book format commonly used for Bibles that reduces bulk while retaining the full text.
  • E. LIM
    LIM is the IATA airport code for Jorge Chávez International Airport, the main international gateway serving Lima, Peru.
  • 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: SLIM
Triple: [SLIM, acronym, SLIM]
Generated description
SLIM is a Japanese lunar lander mission developed by JAXA to demonstrate high-precision, lightweight Moon-landing technology.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SLIM
Target entity description: SLIM is a Japanese lunar lander mission developed by JAXA to demonstrate high-precision, lightweight Moon-landing technology.
  • A. Slim
    Slim is a highly respected, compassionate, and insightful mule driver on the ranch in John Steinbeck’s novel "Of Mice and Men," often serving as a moral authority among the workers.
  • B. Slim
    Slim is the tall, sarcastic stick insect who performs as a reluctant clown in the circus troupe in Pixar's animated film "A Bug's Life."
  • C. SL1
    SL1 is a Boston bus rapid transit route on the MBTA Silver Line that connects downtown with Logan International Airport.
  • D. Thinline
    Thinline is a slim, portable book format commonly used for Bibles that reduces bulk while retaining the full text.
  • E. LIM
    LIM is the IATA airport code for Jorge Chávez International Airport, the main international gateway serving Lima, Peru.
  • 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_69aed9685f70819086932777aec8d959 completed March 9, 2026, 2:30 p.m.
NER Named-entity recognition batch_69af021b17a08190b520101f54ec1e33 completed March 9, 2026, 5:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69b576b96e588190bdf346a66a95138a completed March 14, 2026, 2:54 p.m.
NEDg Description generation batch_69b577d391ac8190b6062b1f64e2e7e8 completed March 14, 2026, 2:59 p.m.
NED2 Entity disambiguation (via description) batch_69b5787ed214819092fc425152069df9 completed March 14, 2026, 3:02 p.m.
Created at: March 9, 2026, 3:42 p.m.