Triple

T13222906
Position Surface form Disambiguated ID Type / Status
Subject שכם E314799 entity
Predicate hebrewName P6449 FINISHED
Object שְׁכֶם E314799 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: שְׁכֶם | Statement: [שכם, hebrewName, שְׁכֶם]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: שְׁכֶם
Context triple: [שכם, hebrewName, שְׁכֶם]
  • A. שְׁכֶם chosen
    שְׁכֶם (Shechem) is an ancient city of major biblical and historical significance in the central hill country of the Land of Israel, near modern-day Nablus in the West Bank.
  • B. Shemiran
    Shemiran is a historically affluent northern district of Tehran, Iran, known for its cooler climate, gardens, and former royal residences.
  • C. سيهات
    سيهات هي مدينة ساحلية تقع على الخليج العربي في المنطقة الشرقية من المملكة العربية السعودية وتشتهر بصيد الأسماك والنشاطات البحرية.
  • D. Shemshak
    Shemshak is a mountain village and ski resort in the Alborz range of northern Iran, known for its steep slopes and popularity among advanced skiers.
  • E. Shambat
    Shambat is a district in Khartoum, Sudan, known for hosting major educational and agricultural institutions, including the University of Khartoum’s agricultural campus.
  • 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_69d806affc688190a25b6ccc588e9c72 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98cf74d708190a61d8ad938653b06 completed April 10, 2026, 11:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6ff24be9881908b96f3e72325e55f completed May 3, 2026, 7:54 a.m.
Created at: April 9, 2026, 9:19 p.m.