Triple

T13459117
Position Surface form Disambiguated ID Type / Status
Subject Świdnica E311312 entity
Predicate twinTown P1072 FINISHED
Object Kiryat Motzkin E359667 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 Motzkin | Statement: [Świdnica, twinTown, Kiryat Motzkin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kiryat Motzkin
Context triple: [Świdnica, twinTown, Kiryat Motzkin]
  • A. Kiryat Motzkin chosen
    Kiryat Motzkin is a coastal city in northern Israel, part of the Haifa metropolitan area and known for its residential neighborhoods and urban parks.
  • B. Kiryat Gat
    Kiryat Gat is a city in south-central Israel known for its industrial zones, high-tech facilities, and location between the coastal plain and the Negev desert.
  • C. Kiryat Moshe
    Kiryat Moshe is a residential neighborhood in the central Israeli city of Rehovot.
  • D. Kiryat Moshe
    Kiryat Moshe is a residential neighborhood in western Jerusalem, known for its religious communities and proximity to major educational and governmental institutions.
  • 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_69d806a938b8819097ec43a2229fc7f9 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dbaf0c177081909178dec61b09c278 completed April 12, 2026, 2:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd9498f8848190a170a3d41c9e3a76 completed May 8, 2026, 7:45 a.m.
Created at: April 9, 2026, 9:41 p.m.