Triple

T3328399
Position Surface form Disambiguated ID Type / Status
Subject Magdala E69972 entity
Predicate hasAlternativeName P39 FINISHED
Object Migdal E344456 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: Migdal | Statement: [Magdala, hasAlternativeName, Migdal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Migdal
Context triple: [Magdala, hasAlternativeName, Migdal]
  • A. Migdal chosen
    Migdal is an ancient town on the western shore of the Sea of Galilee in northern Israel, traditionally identified with the biblical Magdala and known as the hometown of Mary Magdalene.
  • B. Migdal HaEmek
    Migdal HaEmek is a city in northern Israel known for its development-town origins and location in the Jezreel Valley.
  • C. Nahariya
    Nahariya is a coastal city in northern Israel on the Mediterranean Sea, known as a resort town and gateway to nearby attractions such as Rosh HaNikra.
  • D. Bat Yam
    Bat Yam is a coastal city in central Israel, located just south of Tel Aviv along the Mediterranean Sea.
  • E. Kiryat Haim
    Kiryat Haim is a coastal neighborhood in the northern Israeli city of Haifa, known for its beachfront, residential character, and proximity to the Haifa Bay industrial and port areas.
  • 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_69ad85a1829881908942c14075644d0d completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb1708b908190bc5c4122623d9b77 completed March 8, 2026, 5:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69b37e4d4d948190b74116d1d21dc519 completed March 13, 2026, 3:02 a.m.
Created at: March 8, 2026, 3:12 p.m.