Triple

T8424094
Position Surface form Disambiguated ID Type / Status
Subject Haifa (via Israeli road network) E198933 entity
Predicate connectedTo P37 FINISHED
Object Haifa Port E280369 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: Haifa Port | Statement: [Haifa (via Israeli road network), connectedTo, Haifa Port]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Haifa Port
Context triple: [Haifa (via Israeli road network), connectedTo, Haifa Port]
  • A. Haifa Port chosen
    Haifa Port is a major seaport on Israel’s Mediterranean coast that has long served as a key commercial and transportation hub for the region.
  • B. Port of Ashdod
    The Port of Ashdod is one of Israel’s largest and most important seaports, serving as a major hub for the country’s international trade on the Mediterranean coast.
  • C. Nhava Sheva Port
    Nhava Sheva Port is India’s largest container port, located near Mumbai on the Arabian Sea and serving as a major hub for the country’s maritime trade.
  • D. Port of Aqaba
    The Port of Aqaba is Jordan’s only seaport and a key Red Sea maritime hub for the country’s trade and naval operations.
  • E. Port of Tel Aviv
    The Port of Tel Aviv is a historic former commercial harbor on Israel’s Mediterranean coast that has been transformed into a popular waterfront leisure, dining, and cultural district.
  • 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_69ca8312d63c8190bf133b676b44a385 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cb85a0d04481908a5da908cafeceaa completed March 31, 2026, 8:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69ce035aac4c81909066c1ca1318d006 completed April 2, 2026, 5:49 a.m.
Created at: March 30, 2026, 6:07 p.m.