Triple

T1913116
Position Surface form Disambiguated ID Type / Status
Subject Kassaman E38153 entity
Predicate placeOfFirstUse P1930 FINISHED
Object Algeria E5033 NE FINISHED

How this triple was built (3 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: Algeria | Statement: [Kassaman, placeOfFirstUse, Algeria]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Algeria
Context triple: [Kassaman, placeOfFirstUse, Algeria]
  • A. Algeria chosen
    Algeria is a large North African country on the Mediterranean coast, known for its vast Sahara Desert regions, rich history, and significant role in both colonial and post-colonial geopolitics.
  • B. Morocco
    Morocco is a North African country known for its rich blend of Arab, Berber, and European cultural influences, historic cities like Marrakech and Fez, and diverse landscapes ranging from Atlantic coastlines to the Atlas Mountains and Sahara Desert.
  • C. Tunisia
    Tunisia is a North African country on the Mediterranean coast, known for its strategic location, ancient Carthaginian and Roman heritage, and role as a key battleground in World War II.
  • D. Libya
    Libya is a North African country on the Mediterranean coast, known for its vast desert landscapes, significant oil reserves, and history spanning from ancient civilizations to modern political upheavals.
  • E. Mauritania
    Mauritania is a Northwest African country on the Atlantic coast, known for its vast Saharan landscapes, mixed Arab-Berber and Sub-Saharan cultures, and significant iron ore resources.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: placeOfFirstUse
Context triple: [Kassaman, placeOfFirstUse, Algeria]
  • A. locationOfFirstCommercialUse chosen
    Indicates the place where something was first used commercially.
  • B. firstUsedOn
    Indicates the date, time, or context in which something was initially applied, activated, or put into use on a particular object or entity.
  • C. firstUsedFor
    Indicates that one entity was the earliest or original thing for which another entity was used or applied.
  • D. firstCommercialUse
    Indicates the earliest point in time at which something was used commercially or put into commercial operation.
  • E. firstUsedBy
    Indicates that something was initially utilized, applied, or employed by a particular entity before any others.
  • F. None of above.

Provenance (4 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_69a8862a26088190aae5243695aeefc0 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb34d94fc8190a5bf1e582c77c725 completed March 7, 2026, 5:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae02eda1048190b5452b849315863f completed March 8, 2026, 11:14 p.m.
PD Predicate disambiguation batch_69abafeba3d88190afcce67483d8625b completed March 7, 2026, 4:56 a.m.
Created at: March 4, 2026, 7:35 p.m.