Triple

T14554006
Position Surface form Disambiguated ID Type / Status
Subject Tete Province E341490 entity
Predicate hasMajorCity P316 FINISHED
Object Moatize
Moatize is a major coal-mining town in northwestern Mozambique known for its large open-pit coal operations and strategic economic importance.
E1106340 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: Moatize | Statement: [Tete Province, hasMajorCity, Moatize]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Moatize
Context triple: [Tete Province, hasMajorCity, Moatize]
  • A. Tazzelenghe
    Tazzelenghe is a rare, intensely tannic red wine grape native to Italy’s Friuli region, known for producing deeply colored, robust wines with pronounced acidity and dark fruit flavors.
  • B. Meldoise
    Meldoise is the French demonym for an inhabitant of the town of Meaux in the Île-de-France region.
  • C. Musanze
    Musanze is a major town in northern Rwanda that serves as the primary gateway for tourists visiting Volcanoes National Park and its mountain gorillas.
  • D. Muddonna
    Muddonna is the costumed female mascot of the Toledo Mud Hens minor league baseball team, known for entertaining fans at games and team events.
  • E. Magath
    Magath is a German surname most notably associated with Felix Magath, a former professional footballer and successful Bundesliga coach.
  • 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: Moatize
Triple: [Tete Province, hasMajorCity, Moatize]
Generated description
Moatize is a major coal-mining town in northwestern Mozambique known for its large open-pit coal operations and strategic economic importance.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Moatize
Target entity description: Moatize is a major coal-mining town in northwestern Mozambique known for its large open-pit coal operations and strategic economic importance.
  • A. Tazzelenghe
    Tazzelenghe is a rare, intensely tannic red wine grape native to Italy’s Friuli region, known for producing deeply colored, robust wines with pronounced acidity and dark fruit flavors.
  • B. Meldoise
    Meldoise is the French demonym for an inhabitant of the town of Meaux in the Île-de-France region.
  • C. Musanze
    Musanze is a major town in northern Rwanda that serves as the primary gateway for tourists visiting Volcanoes National Park and its mountain gorillas.
  • D. Muddonna
    Muddonna is the costumed female mascot of the Toledo Mud Hens minor league baseball team, known for entertaining fans at games and team events.
  • E. Magath
    Magath is a German surname most notably associated with Felix Magath, a former professional footballer and successful Bundesliga coach.
  • 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_69d822db9c8481908213ceb39585f792 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb2f00cec8190a7b6482d18b9a216 completed April 14, 2026, 9:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd8ab9a5ac81908779a3c8701353fa completed May 8, 2026, 7:03 a.m.
NEDg Description generation batch_69fd8be7d8988190807d4db477b91de0 completed May 8, 2026, 7:08 a.m.
NED2 Entity disambiguation (via description) batch_69fd8d4f2e848190a3c4c423c0ffed50 completed May 8, 2026, 7:14 a.m.
Created at: April 10, 2026, 1:23 a.m.