Triple

T11856002
Position Surface form Disambiguated ID Type / Status
Subject Tel Aviv metropolitan area E282040 entity
Predicate hasMunicipality P847 FINISHED
Object Savyon E378802 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: Savyon | Statement: [Tel Aviv metropolitan area, hasMunicipality, Savyon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Savyon
Context triple: [Tel Aviv metropolitan area, hasMunicipality, Savyon]
  • A. Savyon chosen
    Savyon is an affluent residential town in central Israel known for its spacious villas, high standard of living, and proximity to Tel Aviv.
  • B. Yishai
    Yishai is the Hebrew form of the biblical name Jesse, known as the father of King David in the Hebrew Bible.
  • C. Eyal
    Eyal is a masculine given name of Hebrew origin, commonly used in Israel.
  • D. Tzippori
    Tzippori is an archaeological site and modern village in Israel known for its rich remains from the Roman and Byzantine periods, including impressive mosaics and ancient Jewish and early Christian heritage.
  • E. Yatomi
    Yatomi is a city in central Japan known for its location in Aichi Prefecture and its role as a local residential and agricultural community.
  • 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_69d6ab287ba48190a5178779fd19b9b7 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a697f4108190af984932d2118472 completed April 10, 2026, 7:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69f167d9b9e8819093582637941fc5ca completed April 29, 2026, 2:07 a.m.
Created at: April 8, 2026, 9:43 p.m.