Triple

T12950007
Position Surface form Disambiguated ID Type / Status
Subject Kibbutz Megiddo E309866 entity
Predicate hasNearbyArabLocality P88901 FINISHED
Object Umm al-Fahm E580792 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: Umm al-Fahm | Statement: [Kibbutz Megiddo, hasNearbyArabLocality, Umm al-Fahm]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Umm al-Fahm
Context triple: [Kibbutz Megiddo, hasNearbyArabLocality, Umm al-Fahm]
  • A. Umm al-Fahm chosen
    Umm al-Fahm is a major Arab city in northern Israel known for its predominantly Palestinian population and significant cultural and political influence.
  • B. 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.
  • C. Kfar Shmaryahu
    Kfar Shmaryahu is an affluent suburban village in central Israel known for its high standard of living and proximity to Tel Aviv.
  • D. Kfar Malal
    Kfar Malal is a moshav in central Israel known as the birthplace of former Prime Minister and military leader Ariel Sharon.
  • E. Isfiya
    Isfiya is a Druze-majority village and local council located on Mount Carmel in northern Israel.
  • 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_69d7bdfb57a88190836b743e2825feca completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d97e1dc4c88190ab27b832d6a7c556 completed April 10, 2026, 10:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7396b901c81908bfac5b40e3caed4 completed May 3, 2026, 12:02 p.m.
Created at: April 9, 2026, 5:43 p.m.