Triple

T1764255
Position Surface form Disambiguated ID Type / Status
Subject Baal E38725 entity
Predicate cultCenter P9995 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: [Baal, cultCenter, Sidon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sidon
Context triple: [Baal, cultCenter, 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. Thysdrus
    Thysdrus was an important Roman-era city in present-day El Jem, Tunisia, known for its prosperity and monumental amphitheatre.
  • 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_69a8862d562481908d7025a1c1f67c0d completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa646665088190afa31bdf48f14316 completed March 6, 2026, 5:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69adeacc64808190976d4a604d7762ea completed March 8, 2026, 9:31 p.m.
Created at: March 4, 2026, 7:31 p.m.