Triple

T11790387
Position Surface form Disambiguated ID Type / Status
Subject Israel Railways E280371 entity
Predicate servesCity P82 FINISHED
Object Ashdod E63569 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: Ashdod | Statement: [Israel Railways, servesCity, Ashdod]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ashdod
Context triple: [Israel Railways, servesCity, Ashdod]
  • A. Ashdod chosen
    Ashdod is a major coastal city in southern Israel that serves as an important cultural and religious hub, including for the Karaite Jewish community.
  • B. Ra'anana
    Ra'anana is a prosperous suburban city in central Israel known for its high quality of life, strong education system, and significant high-tech and business presence.
  • C. Eilat
    Eilat is Israel’s southernmost city and a major Red Sea resort and port known for its beaches, coral reefs, and tourism.
  • D. Netanya
    Netanya is a coastal city in central Israel on the Mediterranean Sea, known for its beaches, tourism, and role as a regional economic center.
  • E. Beer Sheva
    Beer Sheva is a major city in southern Israel, often considered the capital of the Negev desert region and an important academic and technological hub.
  • 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_69d6ab258b808190b1735835c841e3a4 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a587c2d881909297c3a6c7d26080 completed April 10, 2026, 7:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69f5f63477e08190957dd1ef709fe93b completed May 2, 2026, 1:03 p.m.
Created at: April 8, 2026, 9:42 p.m.