Triple

T9697416
Position Surface form Disambiguated ID Type / Status
Subject Lashkar-e-Taiba E234688 entity
Predicate hasAlias P455 FINISHED
Object LeT
LeT is a Pakistan-based Islamist militant organization widely known for carrying out the 2008 Mumbai terrorist attacks and being designated as a terrorist group by numerous countries.
 E814479 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: LeT | Statement: [Lashkar-e-Taiba, hasAlias, LeT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: LeT
Context triple: [Lashkar-e-Taiba, hasAlias, LeT]
  • A. Le
    Le is a common Vietnamese surname shared by many notable figures in the country’s history and culture.
  • B. LEAL
    LEAL is the ICAO airport code for Alicante–Elche Airport, the main international airport serving Spain’s Costa Blanca region.
  • C. LEM
    LEM is the original abbreviation for the Apollo Lunar Module, the spacecraft used by NASA astronauts to land on and ascend from the Moon during the Apollo missions.
  • D. Lt
    Lt is the standard military abbreviation for the commissioned officer rank of Lieutenant in the Australian Army.
  • E. LEZL
    LEZL is the ICAO airport code for Seville Airport, a major international airport serving the city of Seville in southern Spain.
  • 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: LeT
Triple: [Lashkar-e-Taiba, hasAlias, LeT]
Generated description
LeT is a Pakistan-based Islamist militant organization widely known for carrying out the 2008 Mumbai terrorist attacks and being designated as a terrorist group by numerous countries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: LeT
Target entity description: LeT is a Pakistan-based Islamist militant organization widely known for carrying out the 2008 Mumbai terrorist attacks and being designated as a terrorist group by numerous countries.
  • A. Le
    Le is a common Vietnamese surname shared by many notable figures in the country’s history and culture.
  • B. LEAL
    LEAL is the ICAO airport code for Alicante–Elche Airport, the main international airport serving Spain’s Costa Blanca region.
  • C. LEM
    LEM is the original abbreviation for the Apollo Lunar Module, the spacecraft used by NASA astronauts to land on and ascend from the Moon during the Apollo missions.
  • D. Lt
    Lt is the standard military abbreviation for the commissioned officer rank of Lieutenant in the Australian Army.
  • E. LEZL
    LEZL is the ICAO airport code for Seville Airport, a major international airport serving the city of Seville in southern Spain.
  • 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_69ca84cb580c8190a7e5f4b3bcdaf2a4 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9d3c02e0819098d05c68805689f1 completed April 1, 2026, 10:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69d19125d3cc819082b3736d1b4ba802 completed April 4, 2026, 10:31 p.m.
NEDg Description generation batch_69d192f37e54819099d316ce44de2c81 completed April 4, 2026, 10:38 p.m.
NED2 Entity disambiguation (via description) batch_69d1933ffc3481909395c9efb63875bb completed April 4, 2026, 10:40 p.m.
Created at: March 30, 2026, 8:18 p.m.