Triple

T8529239
Position Surface form Disambiguated ID Type / Status
Subject Tipaza Province E201899 entity
Predicate contains P35 FINISHED
Object Larhat
Larhat is a coastal town and commune in northern Algeria, situated within Tipaza Province along the Mediterranean Sea.
E741667 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: Larhat | Statement: [Tipaza Province, contains, Larhat]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Larhat
Context triple: [Tipaza Province, contains, Larhat]
  • A. Larevat
    Larevat is an Oceanic language spoken in Vanuatu, closely related to and geographically near the Uripiv-Wala-Rano-Atchin language cluster.
  • B. Lanaken
    Lanaken is a municipality in the Belgian province of Limburg, known for its proximity to Maastricht and its mix of residential areas, industry, and natural landscapes.
  • C. Lataguri
    Lataguri is a small town in West Bengal, India, known as a popular gateway and tourist base for visiting Gorumara National Park and nearby forest reserves.
  • D. Lhazar
    Lhazar is a pastoral region in southeastern Essos inhabited by peaceful shepherding people known for their devotion to the god the Great Shepherd.
  • E. Shabara
    Shabara was an early Indian philosopher and commentator best known for his influential exegesis on the Purva Mimamsa school of Hindu philosophy.
  • 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: Larhat
Triple: [Tipaza Province, contains, Larhat]
Generated description
Larhat is a coastal town and commune in northern Algeria, situated within Tipaza Province along the Mediterranean Sea.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Larhat
Target entity description: Larhat is a coastal town and commune in northern Algeria, situated within Tipaza Province along the Mediterranean Sea.
  • A. Larevat
    Larevat is an Oceanic language spoken in Vanuatu, closely related to and geographically near the Uripiv-Wala-Rano-Atchin language cluster.
  • B. Lanaken
    Lanaken is a municipality in the Belgian province of Limburg, known for its proximity to Maastricht and its mix of residential areas, industry, and natural landscapes.
  • C. Lataguri
    Lataguri is a small town in West Bengal, India, known as a popular gateway and tourist base for visiting Gorumara National Park and nearby forest reserves.
  • D. Lhazar
    Lhazar is a pastoral region in southeastern Essos inhabited by peaceful shepherding people known for their devotion to the god the Great Shepherd.
  • E. Shabara
    Shabara was an early Indian philosopher and commentator best known for his influential exegesis on the Purva Mimamsa school of Hindu philosophy.
  • 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.