Triple

T10058398
Position Surface form Disambiguated ID Type / Status
Subject Battle of Jezzine E208921 entity
Predicate location P40 FINISHED
Object Jezzine E470776 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: Jezzine | Statement: [Battle of Jezzine, location, Jezzine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jezzine
Context triple: [Battle of Jezzine, location, Jezzine]
  • A. Jezzine chosen
    Jezzine is a town in southern Lebanon known for its strategic hilltop location, historic significance, and surrounding pine forests and waterfalls.
  • B. Jahra
    Jahra is a major town and administrative center in western Kuwait, known historically as an agricultural area and now as a growing suburban and commercial hub.
  • C. Bhamdoun
    Bhamdoun is a Lebanese mountain town and popular summer resort known for its scenic views, cool climate, and historic role as a holiday destination near Beirut.
  • D. Hassouna
    Hassouna is an Arabic family name commonly borne by individuals from the Middle East and North Africa.
  • E. Bou Craa
    Bou Craa is a major phosphate-mining site in Western Sahara known for its vast reserves and the long conveyor belt transporting ore to the coast.
  • 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_69ca836094408190a36a1ea7e9a86fcd completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cdcfb0f17c8190a8c0cfb02863537d completed April 2, 2026, 2:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69d29a5d4b308190b5b1ece1ca99be86 completed April 5, 2026, 5:22 p.m.
Created at: March 30, 2026, 8:57 p.m.