Triple

T8229617
Position Surface form Disambiguated ID Type / Status
Subject Linear B E192255 entity
Predicate ISO15924Code P208 FINISHED
Object Linb
Linb is the ISO 15924 four-letter code assigned to the ancient Linear B script used for writing Mycenaean Greek.
 E721936 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: Linb | Statement: [Linear B, ISO15924Code, Linb]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Linb
Context triple: [Linear B, ISO15924Code, Linb]
  • A. Lin
    Lin is a common Chinese surname shared by many individuals of Chinese and East Asian descent.
  • B. Lin
    Lin is the fugitive Australian protagonist of Gregory David Roberts' novel "Shantaram," who reinvents himself in the underworld of Bombay.
  • C. Linbaba
    Linbaba is the protagonist and narrator of Gregory David Roberts' novel "Shantaram," an Australian fugitive who builds a new life in the underworld of Bombay.
  • D. Linqu
    Linqu is a county-level city in eastern Shandong Province, China, known for its scenic mountainous landscapes and historical sites.
  • 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: Linb
Triple: [Linear B, ISO15924Code, Linb]
Generated description
Linb is the ISO 15924 four-letter code assigned to the ancient Linear B script used for writing Mycenaean Greek.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Linb
Target entity description: Linb is the ISO 15924 four-letter code assigned to the ancient Linear B script used for writing Mycenaean Greek.
  • A. Lin
    Lin is a common Chinese surname shared by many individuals of Chinese and East Asian descent.
  • B. Lin
    Lin is the fugitive Australian protagonist of Gregory David Roberts' novel "Shantaram," who reinvents himself in the underworld of Bombay.
  • C. Linbaba
    Linbaba is the protagonist and narrator of Gregory David Roberts' novel "Shantaram," an Australian fugitive who builds a new life in the underworld of Bombay.
  • D. Linqu
    Linqu is a county-level city in eastern Shandong Province, China, known for its scenic mountainous landscapes and historical sites.
  • 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_69ca82db5b90819085d1ad7c2e27bfcc completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb7802417c81908837c31136c41a5c completed March 31, 2026, 7:30 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd34de56688190a7c33bbcb12cd7c1 completed April 1, 2026, 3:08 p.m.
NEDg Description generation batch_69cd4e5e9a2c819099a65053a12c8fde completed April 1, 2026, 4:57 p.m.
NED2 Entity disambiguation (via description) batch_69cd507ce2a881909da6871a9f6df119 completed April 1, 2026, 5:06 p.m.
Created at: March 30, 2026, 5:46 p.m.