Triple

T4779846
Position Surface form Disambiguated ID Type / Status
Subject Israel–Egypt border E106145 entity
Predicate passesNearCity P3945 FINISHED
Object Eilat E233312 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: Eilat | Statement: [Israel–Egypt border, passesNearCity, Eilat]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eilat
Context triple: [Israel–Egypt border, passesNearCity, Eilat]
  • A. Eilat chosen
    Eilat is Israel’s southernmost city and a major Red Sea resort and port known for its beaches, coral reefs, and tourism.
  • B. 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.
  • C. Ashdod
    Ashdod is a major coastal city in southern Israel that serves as an important cultural and religious hub, including for the Karaite Jewish community.
  • D. 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.
  • E. Haifa
    Haifa is a major Israeli city on the Mediterranean coast, known for its significant port, mixed Jewish-Arab population, and the terraced Baháʼí Gardens on Mount Carmel.
  • 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_69bd43f3074c8190937e7b0a457fe9f1 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd658a86288190bc80651840ce6b18 completed March 20, 2026, 3:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69be6f9b91408190962bfd72962b9008 completed March 21, 2026, 10:14 a.m.
Created at: March 20, 2026, 1:21 p.m.