Triple

T1448447
Position Surface form Disambiguated ID Type / Status
Subject Delft E31228 entity
Predicate hasTwinTown P919 FINISHED
Object Kfar Saba E173376 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: Kfar Saba | Statement: [Delft, hasTwinTown, Kfar Saba]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kfar Saba
Context triple: [Delft, hasTwinTown, Kfar Saba]
  • A. Kiryat Shmona
    Kiryat Shmona is a northern Israeli city near the Lebanese border, known for its strategic location and frequent exposure to cross-border conflict.
  • B. Kiryat Ono
    Kiryat Ono is a small suburban city in central Israel, located in the Tel Aviv metropolitan area.
  • 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. Karmiel
    Karmiel is a modern planned city in northern Israel, located in the Galilee and known for its residential neighborhoods, industrial zones, and cultural festivals.
  • E. Kfar Saba, Israel chosen
    Kfar Saba is a city in central Israel known for its high quality of life, developed urban infrastructure, and location in the Sharon plain northeast of Tel Aviv.
  • 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_69a499171a28819085b993a3ac78e363 completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c55c408c8190917ed44d9070a2fb completed March 1, 2026, 11:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69ada0bd0f5c8190b5bfd26995f00a0c completed March 8, 2026, 4:15 p.m.
Created at: March 1, 2026, 8 p.m.