Triple

T8248654
Position Surface form Disambiguated ID Type / Status
Subject Maltego E192903 entity
Predicate developer P73 FINISHED
Object Paterva
Paterva is a South African software company best known for creating Maltego, a powerful open-source intelligence and link analysis tool used in cybersecurity and digital investigations.
 E721438 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: Paterva | Statement: [Maltego, developer, Paterva]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Paterva
Context triple: [Maltego, developer, Paterva]
  • A. Pervalka
    Pervalka is a small, tranquil fishing village and resort settlement on Lithuania’s Curonian Spit, known for its scenic dunes, wooden houses, and quiet coastal atmosphere.
  • B. Balvi
    Balvi is a small town in eastern Latvia that serves as an important local administrative, cultural, and economic center in the Latgale region.
  • C. Yunaska
    Yunaska is the maiden surname of Lara Trump, who is married to Eric Trump, son of former U.S. President Donald Trump.
  • D. Zhmigrod
    Zhmigrod is a Hasidic dynasty that traces its spiritual lineage to the Sanz Hasidic court.
  • E. Prahasta
    Prahasta is a powerful rakshasa commander in the Hindu epic Ramayana, serving as one of Ravana’s chief generals in the war against Rama.
  • 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: Paterva
Triple: [Maltego, developer, Paterva]
Generated description
Paterva is a South African software company best known for creating Maltego, a powerful open-source intelligence and link analysis tool used in cybersecurity and digital investigations.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Paterva
Target entity description: Paterva is a South African software company best known for creating Maltego, a powerful open-source intelligence and link analysis tool used in cybersecurity and digital investigations.
  • A. Pervalka
    Pervalka is a small, tranquil fishing village and resort settlement on Lithuania’s Curonian Spit, known for its scenic dunes, wooden houses, and quiet coastal atmosphere.
  • B. Balvi
    Balvi is a small town in eastern Latvia that serves as an important local administrative, cultural, and economic center in the Latgale region.
  • C. Yunaska
    Yunaska is the maiden surname of Lara Trump, who is married to Eric Trump, son of former U.S. President Donald Trump.
  • D. Zhmigrod
    Zhmigrod is a Hasidic dynasty that traces its spiritual lineage to the Sanz Hasidic court.
  • E. Prahasta
    Prahasta is a powerful rakshasa commander in the Hindu epic Ramayana, serving as one of Ravana’s chief generals in the war against Rama.
  • 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_69ca82de7b8c81908d8106f8a53cff9b completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb78c6b3c48190a3ecebf449766124 completed March 31, 2026, 7:33 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd353888208190941d1c0b7b911cdd completed April 1, 2026, 3:09 p.m.
NEDg Description generation batch_69cd37a71af481909e82aa29ae558c4a completed April 1, 2026, 3:20 p.m.
NED2 Entity disambiguation (via description) batch_69cd4ef034ec8190a4229b21e6088c79 completed April 1, 2026, 4:59 p.m.
Created at: March 30, 2026, 5:48 p.m.