Triple

T19120256
Position Surface form Disambiguated ID Type / Status
Subject 54th (East Anglian) Division E468022 entity
Predicate notableEngagement P1700 FINISHED
Object Sinai NE NERFINISHED

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: Sinai | Statement: [54th (East Anglian) Division, notableEngagement, Sinai]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sinai
Context triple: [54th (East Anglian) Division, notableEngagement, Sinai]
  • A. Sinai
    Sinai is one of the two small, historic funicular cars that operate on Los Angeles’ Angels Flight Railway.
  • B. Sinait
    Sinait is a coastal municipality in the province of Ilocos Sur in the Philippines, known for its religious pilgrimage sites and local salt-making industry.
  • C. Sinai Peninsula chosen
    The Sinai Peninsula is a triangular land bridge between Africa and Asia, known for its desert landscapes, strategic location, and religious and historical significance.
  • D. Sinajana
    Sinajana is a small residential village located on the island of Guam in the western Pacific Ocean.
  • E. מדבר סיני
    מדבר סיני הוא חצי אי מדברי נרחב בצפון-מזרח מצרים, הידוע בנופיו ההרריים והצחיחים ובחשיבותו ההיסטורית והדתית ביהדות, נצרות ואסלאם.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8dd06a26481908039e2a1bae8c597 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5e3c810808190a88d5c7859e7c650 completed April 20, 2026, 8:28 a.m.
Created at: April 10, 2026, 12:05 p.m.