Triple

T35132588
Position Surface form Disambiguated ID Type / Status
Subject Tal-Fuq E1014478 entity
Predicate partOfAdministrativeUnit P3892 FINISHED
Object Western Region of Malta
The Western Region of Malta is an administrative division on the island of Malta that encompasses several inland towns and villages characterized by rural landscapes, historical sites, and residential communities.
E2189651 NE FINISHED

How this triple was built (2 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: Western Region of Malta | Statement: [Tal-Fuq, partOfAdministrativeUnit, Western Region of Malta]
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: Western Region of Malta
Triple: [Tal-Fuq, partOfAdministrativeUnit, Western Region of Malta]
Generated description
The Western Region of Malta is an administrative division on the island of Malta that encompasses several inland towns and villages characterized by rural landscapes, historical sites, and residential communities.

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_69f76dd9c1848190af70d4882a2c1ad7 completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69f78c6c9bac819083af967f6f403ca7 completed May 3, 2026, 5:57 p.m.
NED1 Entity disambiguation (via context triple) batch_6a39e6bc2cd08190aef7e2e35316a8e0 completed June 23, 2026, 1:51 a.m.
NEDg Description generation batch_6a39eb96fa2081909dc4790068e70df1 completed June 23, 2026, 2:12 a.m.
NED2 Entity disambiguation (via description) batch_6a39ef75b4108190a21eae0fd8d705e8 completed June 23, 2026, 2:29 a.m.
Created at: May 3, 2026, 4:02 p.m.