Triple

T31528673
Position Surface form Disambiguated ID Type / Status
Subject Amioun E804412 entity
Predicate governorate P604 FINISHED
Object North Governorate E68590 NE FINISHED

How this triple was built (1 step)

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: North Governorate | Statement: [Amioun, governorate, North Governorate]

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_69f348d03ef88190a2b73d7b94b9e02d completed April 30, 2026, 12:19 p.m.
NER Named-entity recognition batch_69f6a7627304819095330463ffa82acf completed May 3, 2026, 1:39 a.m.
NED1 Entity disambiguation (via context triple) batch_6a33e879514c8190b5f9c96cd815a8f1 completed June 18, 2026, 12:45 p.m.
Created at: April 30, 2026, 10 p.m.