Triple

T5012495
Position Surface form Disambiguated ID Type / Status
Subject Battle of Deir ez-Zor E112658 entity
Predicate location P40 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: [Battle of Deir ez-Zor, location, Syria]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Syria
Context triple: [Battle of Deir ez-Zor, location, 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_69bd4434acb8819086679dbeccc2fe54 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd730f12a481908a27c15dc73987c6 completed March 20, 2026, 4:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69be926e5ef481909df3a4b9d793300a completed March 21, 2026, 12:43 p.m.
Created at: March 20, 2026, 1:35 p.m.