Triple

T8557476
Position Surface form Disambiguated ID Type / Status
Subject Gödöllő E202608 entity
Predicate hasTwinTown P919 FINISHED
Object Kiryat Bialik E356243 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: Kiryat Bialik | Statement: [Gödöllő, hasTwinTown, Kiryat Bialik]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kiryat Bialik
Context triple: [Gödöllő, hasTwinTown, Kiryat Bialik]
  • A. Kiryat Bialik chosen
    Kiryat Bialik is a coastal city in northern Israel that forms part of the Haifa metropolitan area.
  • B. Be’er Heitev
    Be’er Heitev is a classic halachic commentary that concisely summarizes and clarifies major legal opinions on the Shulchan Aruch, particularly in the Orach Chayim section.
  • C. Herzliya
    Herzliya is a coastal city in central Israel known as a high-tech and academic hub, home to major technology companies and institutions.
  • D. 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.
  • E. Kiryat Ono
    Kiryat Ono is a small suburban city in central Israel, located in the Tel Aviv metropolitan area.
  • 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_69ca8326e6c881908ff720d6abaebdc5 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe946d1408190adc7dfb7b2173f9d completed March 31, 2026, 3:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf42459a048190a5c480f4a212607a completed April 3, 2026, 4:29 a.m.
Created at: March 30, 2026, 6:20 p.m.