Triple

T1872352
Position Surface form Disambiguated ID Type / Status
Subject Women of the Arab Spring E39061 entity
Predicate activeInCountry P19850 FINISHED
Object Syria E9905 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: Syria | Statement: [Women of the Arab Spring, activeInCountry, Syria]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Syria
Context triple: [Women of the Arab Spring, activeInCountry, Syria]
  • A. Syria chosen
    Syria is a country in the Eastern Mediterranean region of Western Asia, known for its ancient civilizations, diverse cultural heritage, and protracted civil war since 2011.
  • B. Suriya
    Suriya is a prominent Indian actor and producer best known for his versatile performances in Tamil cinema across action, drama, and socially themed films.
  • C. Yemen
    Yemen is a country on the southern tip of the Arabian Peninsula, known for its ancient history, strategic Red Sea coastline, and ongoing complex humanitarian and political crises.
  • D. Iraq
    Iraq is a Middle Eastern country historically significant for its ancient Mesopotamian civilizations and its major role in 20th- and 21st-century geopolitics and conflicts.
  • E. Libya
    Libya is a North African country on the Mediterranean coast, known for its vast desert landscapes, significant oil reserves, and history spanning from ancient civilizations to modern political upheavals.
  • 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_69a8862f7074819096afe7fe65e179e9 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb7c376208190bbf28504f1aac881 completed March 7, 2026, 5:29 a.m.
NED1 Entity disambiguation (via context triple) batch_69addf5419488190ad96110f6ac7111f completed March 8, 2026, 8:43 p.m.
Created at: March 4, 2026, 7:34 p.m.