Triple

T6941010
Position Surface form Disambiguated ID Type / Status
Subject Sinai insurgency E160671 entity
Predicate location P40 FINISHED
Object Sinai Peninsula E6370 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: Sinai Peninsula | Statement: [Sinai insurgency, location, Sinai Peninsula]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sinai Peninsula
Context triple: [Sinai insurgency, location, Sinai Peninsula]
  • A. 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.
  • B. Sinai
    Sinai is one of the two small, historic funicular cars that operate on Los Angeles’ Angels Flight Railway.
  • C. Sinai desert
    The Sinai Desert is a vast arid peninsula in northeastern Egypt, historically significant as a crossroads between Africa and Asia and as a major site of biblical and early Christian monastic tradition.
  • D. Negev desert
    The Negev desert is a vast arid region in southern Israel known for its stark landscapes, sparse population, and significant historical and strategic importance.
  • E. Tihama
    Tihama is a hot, low-lying coastal plain along the Red Sea, primarily in western Yemen and southwestern Saudi Arabia.
  • 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_69c6884f3db4819080ad65da69386206 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6da65d4788190a83625f96c867ffe completed March 27, 2026, 7:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7585e45448190accdddcbb4bd69ed completed March 28, 2026, 4:26 a.m.
Created at: March 27, 2026, 2:28 p.m.