Triple

T23454531
Position Surface form Disambiguated ID Type / Status
Subject Sousse Governorate E567881 entity
Predicate contains P35 FINISHED
Object Msaken
Msaken is a prominent town in northeastern Tunisia known for its textile industry and its location near the coastal city of Sousse.
 E1586686 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: Msaken | Statement: [Sousse Governorate, contains, Msaken]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Msaken
Context triple: [Sousse Governorate, contains, Msaken]
  • A. Mutassim
    Mutassim is a Libyan political figure best known as one of Muammar Gaddafi’s sons, who held senior security and military roles in his father’s regime.
  • B. Mihna
    The Mihna was an Islamic inquisition instituted in the 9th century that tested and persecuted scholars over their adherence to the doctrine of the createdness of the Qur’an.
  • C. Mihna
    Mihna is a historical town in the region of Khorasan, in present-day northeastern Iran.
  • D. Maskun
    Maskun was an Indonesian politician associated with the nationalist movement and the Indonesian National Party.
  • E. Murtede
    Murtede is a civil parish located in the municipality of Cantanhede in Portugal.
  • 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: Msaken
Triple: [Sousse Governorate, contains, Msaken]
Generated description
Msaken is a prominent town in northeastern Tunisia known for its textile industry and its location near the coastal city of Sousse.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Msaken
Target entity description: Msaken is a prominent town in northeastern Tunisia known for its textile industry and its location near the coastal city of Sousse.
  • A. Mutassim
    Mutassim is a Libyan political figure best known as one of Muammar Gaddafi’s sons, who held senior security and military roles in his father’s regime.
  • B. Mihna
    The Mihna was an Islamic inquisition instituted in the 9th century that tested and persecuted scholars over their adherence to the doctrine of the createdness of the Qur’an.
  • C. Mihna
    Mihna is a historical town in the region of Khorasan, in present-day northeastern Iran.
  • D. Maskun
    Maskun was an Indonesian politician associated with the nationalist movement and the Indonesian National Party.
  • E. Murtede
    Murtede is a civil parish located in the municipality of Cantanhede in Portugal.
  • 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_69e2458b4c888190b1d7998f9862a558 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f1a695fed08190bfa160e69200546d completed April 29, 2026, 6:35 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c67c0c2d081909da467271800b69d completed May 19, 2026, 1:38 p.m.
NEDg Description generation batch_6a0c7218a358819082d8b19b57b61013 completed May 19, 2026, 2:22 p.m.
NED2 Entity disambiguation (via description) batch_6a0c76ed37b08190af81b4ae2dc7c028 completed May 19, 2026, 2:42 p.m.
Created at: April 17, 2026, 5:53 p.m.