Triple

T15335604
Position Surface form Disambiguated ID Type / Status
Subject Dakahlia Governorate E366655 entity
Predicate hasCity P316 FINISHED
Object Manzala E669798 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: Manzala | Statement: [Dakahlia Governorate, hasCity, Manzala]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Manzala
Context triple: [Dakahlia Governorate, hasCity, Manzala]
  • A. Manzala chosen
    Manzala is a town in northeastern Egypt situated near Lake Manzala and known for its fishing and agricultural activities.
  • B. Zababdeh
    Zababdeh is a predominantly Christian Palestinian town in the northern West Bank known as a local religious and educational center.
  • C. Molazzana
    Molazzana is a small municipality in Tuscany, central Italy, known for its scenic location in the Garfagnana area of the Apennine mountains.
  • D. Jabriya
    Jabriya is a residential suburb in Kuwait known for its mix of apartment buildings, schools, and local shops within the Hawalli Governorate.
  • E. El Menzah
    El Menzah is a residential and commercial district in the northern suburbs of Tunis, known for its middle- to upper-class neighborhoods and modern urban infrastructure.
  • 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.