Triple

T6933728
Position Surface form Disambiguated ID Type / Status
Subject Pakistan Navy E160498 entity
Predicate majorBase P2909 FINISHED
Object Pasni
Pasni is a coastal town in Pakistan’s Balochistan province that serves as a strategically important naval base and fishing port on the Arabian Sea.
 E628974 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: Pasni | Statement: [Pakistan Navy, majorBase, Pasni]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Pasni
Context triple: [Pakistan Navy, majorBase, Pasni]
  • A. Paskhas
    Paskhas is the Indonesian Air Force’s elite special forces corps, specializing in airfield security, airborne operations, and air defense missions.
  • B. Pašman
    Pašman is a Croatian island and municipality in the Adriatic Sea, known for its picturesque coastline, traditional villages, and proximity to the city of Zadar.
  • C. Pasym
    Pasym is a small historic town in northern Poland known for its lakeside setting and traditional Warmian-Masurian architecture.
  • D. Prystaiko
    Prystaiko is the surname of Vadym Prystaiko, a Ukrainian diplomat and former Minister of Foreign Affairs.
  • E. Parkano
    Parkano is a small town and municipality in the Pirkanmaa region of western Finland, known for its forests, lakes, and position along key transport routes.
  • 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: Pasni
Triple: [Pakistan Navy, majorBase, Pasni]
Generated description
Pasni is a coastal town in Pakistan’s Balochistan province that serves as a strategically important naval base and fishing port on the Arabian Sea.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Pasni
Target entity description: Pasni is a coastal town in Pakistan’s Balochistan province that serves as a strategically important naval base and fishing port on the Arabian Sea.
  • A. Paskhas
    Paskhas is the Indonesian Air Force’s elite special forces corps, specializing in airfield security, airborne operations, and air defense missions.
  • B. Pašman
    Pašman is a Croatian island and municipality in the Adriatic Sea, known for its picturesque coastline, traditional villages, and proximity to the city of Zadar.
  • C. Pasym
    Pasym is a small historic town in northern Poland known for its lakeside setting and traditional Warmian-Masurian architecture.
  • D. Prystaiko
    Prystaiko is the surname of Vadym Prystaiko, a Ukrainian diplomat and former Minister of Foreign Affairs.
  • E. Parkano
    Parkano is a small town and municipality in the Pirkanmaa region of western Finland, known for its forests, lakes, and position along key transport routes.
  • 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_69c6884e15208190b9e91487eaafcf85 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6da415b1481908d70b92ecd5fd8e6 completed March 27, 2026, 7:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7514ead808190bff53b49b5f331fb completed March 28, 2026, 3:55 a.m.
NEDg Description generation batch_69c7524d677c81909531ba9bb46f2632 completed March 28, 2026, 4 a.m.
NED2 Entity disambiguation (via description) batch_69c752bef2808190843f3cad53aa5702 completed March 28, 2026, 4:02 a.m.
Created at: March 27, 2026, 2:27 p.m.