Triple

T1186921
Position Surface form Disambiguated ID Type / Status
Subject LAS E25267 entity
Predicate regionServed P82 FINISHED
Object Middle East E2715 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: Middle East | Statement: [LAS, regionServed, Middle East]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Middle East
Context triple: [LAS, regionServed, Middle East]
  • A. Middle East chosen
    The Middle East is a transcontinental region centered on Western Asia and parts of North Africa, known for its strategic location, vast energy resources, and profound historical and cultural significance.
  • B. Middle East and North Africa
    The Middle East and North Africa is a transcontinental region spanning parts of Western Asia and North Africa, known for its shared historical, cultural, and linguistic ties, particularly through the Arab world and Islam.
  • C. Greater Middle East
    The Greater Middle East is a broad geopolitical region encompassing the traditional Middle East and adjacent areas of North Africa, Central and South Asia, often used in strategic and diplomatic contexts.
  • D. Arab world
    The Arab world is a culturally and linguistically connected region of Arabic-speaking countries spanning North Africa and Western Asia.
  • E. Africa and the Arab States
    Africa and the Arab States is a regional category that recognizes and honors outstanding women scientists from African and Arab countries within the L’Oréal-UNESCO Awards for Women in Science program.
  • 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_69a49427d98881908646d6c63b8cea1e completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4bd5578b08190bbe4089857fbf166 completed March 1, 2026, 10:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69acb2f3df34819090d942aad0a409fa completed March 7, 2026, 11:21 p.m.
Created at: March 1, 2026, 7:45 p.m.