Triple

T28874665
Position Surface form Disambiguated ID Type / Status
Subject TLDM E732232 entity
Predicate specialUnitFullName P126453 FINISHED
Object Pasukan Khas Laut
Pasukan Khas Laut is the elite naval special operations force of the Royal Malaysian Navy, specializing in maritime counter-terrorism, sabotage, and unconventional warfare.
 E1835203 NE FINISHED

How this triple was built (3 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: Pasukan Khas Laut | Statement: [TLDM, specialUnitFullName, Pasukan Khas Laut]
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: Pasukan Khas Laut
Triple: [TLDM, specialUnitFullName, Pasukan Khas Laut]
Generated description
Pasukan Khas Laut is the elite naval special operations force of the Royal Malaysian Navy, specializing in maritime counter-terrorism, sabotage, and unconventional warfare.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: specialUnitFullName
Context triple: [TLDM, specialUnitFullName, Pasukan Khas Laut]
  • A. militaryUnitName
    Indicates the specific official name assigned to a military unit in the context of a broader relationship or record.
  • B. isNamedMilitaryUnit chosen
    Indicates that the subject is a military unit that has been given a specific official name.
  • C. hasSpecialUnit
    Indicates that an entity possesses or is associated with a distinct, designated unit that has a special role, function, or status.
  • D. unitSpecialization
    Indicates that one unit is a specialized or more specific version of another unit within a hierarchical or categorical relationship.
  • E. notableTeamUnit
    Indicates that an entity is a significant or distinguished member unit (such as a player or component) of a particular team.
  • F. None of above.

Provenance (6 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_69f05b06807c81909b4bbd4c20403a2b completed April 28, 2026, 7 a.m.
NER Named-entity recognition batch_69f6afebd7ec8190ab696f363d84abf0 completed May 3, 2026, 2:16 a.m.
NED1 Entity disambiguation (via context triple) batch_6a24bbcb7d74819091a892d27a7fb91d completed June 7, 2026, 12:31 a.m.
NEDg Description generation batch_6a24c13af12081909fdaea65bf79c27a completed June 7, 2026, 12:54 a.m.
NED2 Entity disambiguation (via description) batch_6a24c1aa75c0819080e41fcf600d6d63 completed June 7, 2026, 12:56 a.m.
PD Predicate disambiguation batch_69f6aca204148190850a3dc325bc07b7 completed May 3, 2026, 2:02 a.m.
Created at: April 28, 2026, 7:36 a.m.