Triple

T7066752
Position Surface form Disambiguated ID Type / Status
Subject South Governorate E164371 entity
Predicate largestCity P235 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: [South Governorate, largestCity, Sidon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sidon
Context triple: [South Governorate, largestCity, 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. Hipponion
    Hipponion was an ancient Greek city in southern Italy, notable as an important center of Magna Graecia and for archaeological finds such as Orphic gold tablets.
  • 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_69c688796c148190adb2f1596f595f22 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e4a737dc8190add7f0228cb28111 completed March 27, 2026, 8:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7a31a43b481908e535afc393b242a completed March 28, 2026, 9:44 a.m.
Created at: March 27, 2026, 2:39 p.m.