Triple

T15448411
Position Surface form Disambiguated ID Type / Status
Subject Carmel Beach E370083 entity
Predicate partOf P40 FINISHED
Object Haifa coastline E1114444 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: Haifa coastline | Statement: [Carmel Beach, partOf, Haifa coastline]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Haifa coastline
Context triple: [Carmel Beach, partOf, Haifa coastline]
  • A. Haifa coastline chosen
    The Haifa coastline is a scenic stretch of Mediterranean shore in northern Israel, known for its beaches, promenades, and views of the city of Haifa and Mount Carmel.
  • B. Tel Aviv coastline
    The Tel Aviv coastline is a long stretch of Mediterranean shore known for its sandy beaches, promenades, and vibrant urban skyline.
  • C. Nahariya beach
    Nahariya beach is a popular Mediterranean seaside stretch in the northern Israeli city of Nahariya, known for its promenades, family-friendly swimming areas, and scenic coastal views.
  • D. Ramla Bay
    Ramla Bay is a renowned red-sand beach on the island of Gozo in Malta, celebrated for its natural beauty and historical significance.
  • E. Syrian coast
    The Syrian coast is a historically rich eastern Mediterranean shoreline region encompassing ancient port cities and cultural centers such as Ugarit.
  • 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_69d85a19180081909925012fbf4e62a3 completed April 10, 2026, 2:02 a.m.
NER Named-entity recognition batch_69e03ef9334c81908541e231b43eb012 completed April 16, 2026, 1:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff21afb6f4819094162ca842b7eb60 completed May 9, 2026, 11:59 a.m.
Created at: April 10, 2026, 3:21 a.m.