Triple

T31759084
Position Surface form Disambiguated ID Type / Status
Subject Islam in Romania E810631 entity
Predicate oldestMosqueLocation P154276 FINISHED
Object Mangalia NE NERFINISHED

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: Mangalia | Statement: [Islam in Romania, oldestMosqueLocation, Mangalia]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: oldestMosqueLocation
Context triple: [Islam in Romania, oldestMosqueLocation, Mangalia]
  • A. isOldestMosqueIn chosen
    Indicates that a mosque is the most ancient or earliest-built mosque within the specified place or region.
  • B. isLargestMosqueIn
    Indicates that a mosque is the largest mosque located within a specified geographic area or jurisdiction.
  • C. isOneOfTheLargestMosquesIn
    Indicates that the subject mosque ranks among the largest mosques located in the specified place or region.
  • D. oneOfOldestTemplesIn
    Indicates that a temple is among the oldest temples located within a specified place or region.
  • E. hasMosque
    Indicates that one entity possesses, contains, or is the location of a mosque.
  • F. None of above.

Provenance (3 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_69f348e340d48190b780fae618c51464 completed April 30, 2026, 12:19 p.m.
NER Named-entity recognition batch_69f6afebd7ec8190ab696f363d84abf0 completed May 3, 2026, 2:16 a.m.
PD Predicate disambiguation batch_69f6aca3dedc81908b519d53d2909868 completed May 3, 2026, 2:02 a.m.
Created at: April 30, 2026, 11:30 p.m.