Triple

T14207670
Position Surface form Disambiguated ID Type / Status
Subject King Ghezo E352140 entity
Predicate name P16 FINISHED
Object Ghezo E1077053 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: Ghezo | Statement: [King Ghezo, name, Ghezo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ghezo
Context triple: [King Ghezo, name, Ghezo]
  • A. Ghezo chosen
    Ghezo was a 19th-century king of the West African Kingdom of Dahomey, known for his military campaigns, political reforms, and association with the famed Dahomey Amazons.
  • B. Gizo
    Gizo is a small island town in the Solomon Islands known as an administrative and commercial hub in the western part of the country and a popular base for diving and marine tourism.
  • C. Gevaot
    Gevaot is an Israeli settlement in the Gush Etzion bloc of the West Bank, known for its strategic location and political significance in the Israeli–Palestinian conflict.
  • D. Giez
    Giez is a small municipality in the canton of Vaud in western Switzerland, situated near the town of Grandson and close to Lake Neuchâtel.
  • E. Goé
    Goé is a village that forms one of the municipal sections of the town of Limbourg in the province of Liège, Belgium.
  • 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_69d827894ac0819097803e57f3227b23 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de61f84f288190877116330bd54393 completed April 14, 2026, 3:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd195301e88190a5ef034253275fb0 completed May 7, 2026, 10:59 p.m.
Created at: April 10, 2026, 1:05 a.m.