Triple

T4884233
Position Surface form Disambiguated ID Type / Status
Subject Southern Lebanon E109401 entity
Predicate contains P35 FINISHED
Object Sidon E31286 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: Sidon | Statement: [Southern Lebanon, contains, Sidon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sidon
Context triple: [Southern Lebanon, contains, Sidon]
  • A. Sidon chosen
    Sidon is an ancient Phoenician port city, located in present-day Lebanon, that was a major center of maritime trade and culture in the eastern Mediterranean.
  • B. Byblos
    Byblos is an ancient Phoenician port city in modern-day Lebanon, considered one of the oldest continuously inhabited cities in the world and a major center of early writing and trade.
  • C. Cyrene
    Cyrene is an ancient Greek and Roman city in eastern Libya renowned for its well-preserved ruins and historical significance as a major center of classical civilization.
  • D. Motya
    Motya was an important ancient Phoenician island city and trading hub located off the western coast of Sicily.
  • E. Samosata
    Samosata was an ancient city on the upper Euphrates, historically significant as a strategic and cultural center in what is now southeastern Turkey.
  • 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_69bd440f71348190b99938e59fb7f9a1 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6de253ac8190b1112da6953fa4f2 completed March 20, 2026, 3:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69be680bf12c8190a5da2c7f0088cec2 completed March 21, 2026, 9:42 a.m.
Created at: March 20, 2026, 1:27 p.m.