Triple

T11860546
Position Surface form Disambiguated ID Type / Status
Subject Hub District E282146 entity
Predicate containsSettlement P847 FINISHED
Object Sakran
Sakran is a town located within Pakistan’s Hub District in the province of Balochistan.
E951603 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: Sakran | Statement: [Hub District, containsSettlement, Sakran]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sakran
Context triple: [Hub District, containsSettlement, Sakran]
  • A. Sanakhte
    Sanakhte was an early ancient Egyptian pharaoh traditionally associated with the 3rd Dynasty and sometimes considered a predecessor or relative of Djoser.
  • B. Sakias
    Sakias is a child of the German singer and actress Nena, known for her hit song "99 Luftballons."
  • C. Sakaar
    Sakaar is a chaotic, trash-covered planet ruled by the Grandmaster in the Marvel Cinematic Universe, known for its gladiatorial contests and bizarre cosmic detritus.
  • D. Sagiada
    Sagiada is a small coastal town in northwestern Greece, near the Albanian border, known for its fishing harbor and views over the Ionian Sea.
  • E. Sadan
    Sadan is a subgroup of Eastern Hindi dialects spoken primarily in parts of northern and eastern India.
  • 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: Sakran
Triple: [Hub District, containsSettlement, Sakran]
Generated description
Sakran is a town located within Pakistan’s Hub District in the province of Balochistan.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Sakran
Target entity description: Sakran is a town located within Pakistan’s Hub District in the province of Balochistan.
  • A. Sanakhte
    Sanakhte was an early ancient Egyptian pharaoh traditionally associated with the 3rd Dynasty and sometimes considered a predecessor or relative of Djoser.
  • B. Sakias
    Sakias is a child of the German singer and actress Nena, known for her hit song "99 Luftballons."
  • C. Sakaar
    Sakaar is a chaotic, trash-covered planet ruled by the Grandmaster in the Marvel Cinematic Universe, known for its gladiatorial contests and bizarre cosmic detritus.
  • D. Sagiada
    Sagiada is a small coastal town in northwestern Greece, near the Albanian border, known for its fishing harbor and views over the Ionian Sea.
  • E. Sadan
    Sadan is a subgroup of Eastern Hindi dialects spoken primarily in parts of northern and eastern India.
  • 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_69d6ab287ba48190a5178779fd19b9b7 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a69a099c8190a674db64c50eca5a completed April 10, 2026, 7:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69f281745ca88190968e1f674d0e483c completed April 29, 2026, 10:08 p.m.
NEDg Description generation batch_69f28a8e64ac8190ba7637fd00e024bd completed April 29, 2026, 10:47 p.m.
NED2 Entity disambiguation (via description) batch_69f28d4e341c8190abc8febc3b26a617 completed April 29, 2026, 10:59 p.m.
Created at: April 8, 2026, 9:43 p.m.