Triple

T15335603
Position Surface form Disambiguated ID Type / Status
Subject Dakahlia Governorate E366655 entity
Predicate hasCity P316 FINISHED
Object Sherbin E665930 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: Sherbin | Statement: [Dakahlia Governorate, hasCity, Sherbin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sherbin
Context triple: [Dakahlia Governorate, hasCity, Sherbin]
  • A. Sherbin chosen
    Sherbin is a town in Egypt’s Dakahlia Governorate that serves as one of the region’s principal urban centers.
  • B. Sadras
    Sadras is a historic coastal town in Tamil Nadu, India, known for its Dutch-era fort and role as a former trading port on the Coromandel Coast.
  • C. Shahar
    Shahar is a figure from ancient Semitic mythology often associated with the dawn or morning star.
  • D. Shahar
    Shahar is an organization or group that includes Anindya Bose among its members.
  • E. Sultanabad
    Sultanabad is the former name of the Iranian city now known as Arak, an important industrial and historical center in central Iran.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d85a1355608190a6673ddb67231d54 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e03c5f081908e4d14dbdbc7f7a6 completed April 16, 2026, 1:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff01f11b88819089342e8b088bc95e completed May 9, 2026, 9:44 a.m.
Created at: April 10, 2026, 3:17 a.m.