Triple

T7134074
Position Surface form Disambiguated ID Type / Status
Subject Bouira Province E166260 entity
Predicate hasSettlement P1068 FINISHED
Object Maala
Maala is a town located within Bouira Province in northern Algeria.
 E643386 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: Maala | Statement: [Bouira Province, hasSettlement, Maala]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Maala
Context triple: [Bouira Province, hasSettlement, Maala]
  • A. Marale
    Marale is a small municipality located in the Francisco Morazán Department of central Honduras.
  • B. Maasim
    Maasim is a coastal municipality in the province of South Cotabato on the island of Mindanao in the Philippines, known for agriculture and fishing.
  • C. Mala
    Mala is a coastal town in Peru’s Lima Region known for its agricultural production and beaches along the Pacific Ocean.
  • D. Malwi
    Malwi is an Indo-Aryan language spoken primarily in the Malwa region of the Indian state of Madhya Pradesh.
  • E. Maay
    Maay is a major dialect of the Somali language spoken primarily by the Rahanweyn (Digil-Mirifle) communities in southern Somalia.
  • 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: Maala
Triple: [Bouira Province, hasSettlement, Maala]
Generated description
Maala is a town located within Bouira Province in northern Algeria.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Maala
Target entity description: Maala is a town located within Bouira Province in northern Algeria.
  • A. Marale
    Marale is a small municipality located in the Francisco Morazán Department of central Honduras.
  • B. Maasim
    Maasim is a coastal municipality in the province of South Cotabato on the island of Mindanao in the Philippines, known for agriculture and fishing.
  • C. Mala
    Mala is a coastal town in Peru’s Lima Region known for its agricultural production and beaches along the Pacific Ocean.
  • D. Malwi
    Malwi is an Indo-Aryan language spoken primarily in the Malwa region of the Indian state of Madhya Pradesh.
  • E. Maay
    Maay is a major dialect of the Somali language spoken primarily by the Rahanweyn (Digil-Mirifle) communities in southern Somalia.
  • 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_69c68884a9388190af42f90d1c1a7151 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e68f15bc8190a4d82b8ee388f497 completed March 27, 2026, 8:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7a344fb4881908f6b6e33706e0192 completed March 28, 2026, 9:45 a.m.
NEDg Description generation batch_69c7a3f2b51c81909f058149e9bd9f0a completed March 28, 2026, 9:48 a.m.
NED2 Entity disambiguation (via description) batch_69c7a4a9e91881909df07f1c540f191e completed March 28, 2026, 9:51 a.m.
Created at: March 27, 2026, 2:45 p.m.