Triple

T14069989
Position Surface form Disambiguated ID Type / Status
Subject Mahmoudiya Mosque E338579 entity
Predicate locatedInCity P40 FINISHED
Object Jaffa E66822 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: Jaffa | Statement: [Mahmoudiya Mosque, locatedInCity, Jaffa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jaffa
Context triple: [Mahmoudiya Mosque, locatedInCity, Jaffa]
  • A. Jaffa chosen
    Jaffa is an ancient port city on the Mediterranean coast, now part of Tel Aviv-Yafo in Israel, known for its historic harbor, mixed Arab-Jewish population, and continuous habitation since antiquity.
  • B. Ramla
    Ramla is an Israeli city historically significant as a major religious and communal center for Karaite Jews.
  • C. ʿAkka
    ʿAkka is a historic port city on the Mediterranean coast of northern Israel, renowned for its well-preserved Crusader-era architecture and diverse cultural heritage.
  • D. Kfar Saba
    Kfar Saba is a city in central Israel, known as a suburban and commercial hub in the Sharon plain near Tel Aviv.
  • E. مدينة أريحا
    مدينة أريحا هي مدينة فلسطينية تاريخية في غور الأردن تُعد من أقدم مدن العالم المأهولة بالسكان وتشتهر بموقعها الزراعي والسياحي المهم.
  • 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_69d81c67ba6c819091935650dfb3b895 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de568d0404819087e0fe37c72162cb completed April 14, 2026, 3 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe0cd12c308190ac868ffe7c5539b0 completed May 8, 2026, 4:18 p.m.
Created at: April 9, 2026, 10:21 p.m.