Triple

T8529237
Position Surface form Disambiguated ID Type / Status
Subject Tipaza Province E201899 entity
Predicate contains P35 FINISHED
Object Messelmoun
Messelmoun is a locality in northern Algeria situated within Tipaza Province along the Mediterranean coast.
 E741665 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: Messelmoun | Statement: [Tipaza Province, contains, Messelmoun]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Messelmoun
Context triple: [Tipaza Province, contains, Messelmoun]
  • A. Mure
    Mure is a Scottish surname historically associated with Lowland families and often considered a variant of or related to the name Muir.
  • B. Moelv
    Moelv is a small Norwegian town in Innlandet county, known for its location near Lake Mjøsa and its role as a local industrial and transport hub.
  • C. Maleny
    Maleny is a scenic rural town in the Sunshine Coast hinterland of Queensland, Australia, known for its lush rolling hills, dairy farms, arts community, and panoramic views over the Glass House Mountains.
  • D. Biesmelle
    Biesmelle is a small river in Belgium that serves as a tributary of the Sambre.
  • E. Maaseik
    Maaseik is a historic town in the Belgian province of Limburg, known as the birthplace of the Early Netherlandish painter Jan van Eyck.
  • 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: Messelmoun
Triple: [Tipaza Province, contains, Messelmoun]
Generated description
Messelmoun is a locality in northern Algeria situated within Tipaza Province along the Mediterranean coast.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Messelmoun
Target entity description: Messelmoun is a locality in northern Algeria situated within Tipaza Province along the Mediterranean coast.
  • A. Mure
    Mure is a Scottish surname historically associated with Lowland families and often considered a variant of or related to the name Muir.
  • B. Moelv
    Moelv is a small Norwegian town in Innlandet county, known for its location near Lake Mjøsa and its role as a local industrial and transport hub.
  • C. Maleny
    Maleny is a scenic rural town in the Sunshine Coast hinterland of Queensland, Australia, known for its lush rolling hills, dairy farms, arts community, and panoramic views over the Glass House Mountains.
  • D. Biesmelle
    Biesmelle is a small river in Belgium that serves as a tributary of the Sambre.
  • E. Maaseik
    Maaseik is a historic town in the Belgian province of Limburg, known as the birthplace of the Early Netherlandish painter Jan van Eyck.
  • 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_69ca83228b24819085d22e7dc99f5d94 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe67409f08190b20d13d26e9a362c completed March 31, 2026, 3:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce6d5e5b58819095c1c915dfe27b52 completed April 2, 2026, 1:21 p.m.
NEDg Description generation batch_69ce6ec1e74081908fc235ffd13ef301 completed April 2, 2026, 1:27 p.m.
NED2 Entity disambiguation (via description) batch_69ce6fe13a00819095f5bec408435426 completed April 2, 2026, 1:32 p.m.
Created at: March 30, 2026, 6:17 p.m.