Triple

T5965724
Position Surface form Disambiguated ID Type / Status
Subject Haifa District E132745 entity
Predicate containsCity P294 FINISHED
Object Tirat Carmel E344037 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: Tirat Carmel | Statement: [Haifa District, containsCity, Tirat Carmel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tirat Carmel
Context triple: [Haifa District, containsCity, Tirat Carmel]
  • A. Tirat Carmel chosen
    Tirat Carmel is a coastal city in northern Israel situated near Haifa on the slopes of Mount Carmel.
  • B. Ur Kasdim
    Ur Kasdim is the ancient Mesopotamian city traditionally identified in the Hebrew Bible as the birthplace of the patriarch Abraham.
  • C. Har HaTzofim
    Har HaTzofim is the Hebrew name for Mount Scopus, a prominent ridge in northeast Jerusalem known for its historic, strategic, and academic significance.
  • D. Sha'ar Yafo
    Sha'ar Yafo is the Hebrew name for Jaffa Gate, one of the main historic entrances to Jerusalem’s Old City.
  • E. El Gamaliya
    El Gamaliya is a historic district in central Cairo, Egypt, known for its dense traditional markets, medieval Islamic architecture, and cultural landmarks.
  • 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_69c0086c2364819091e9fe2f58fa2517 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c03a3ca1dc819098cde8ae5ec1d845 completed March 22, 2026, 6:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0e3f917c881909c4f780937c5fa7b completed March 23, 2026, 6:55 a.m.
Created at: March 22, 2026, 4:03 p.m.