Triple

T4884259
Position Surface form Disambiguated ID Type / Status
Subject Southern Lebanon E109401 entity
Predicate crossedBy P416 FINISHED
Object Hasbani River E190774 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: Hasbani River | Statement: [Southern Lebanon, crossedBy, Hasbani River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hasbani River
Context triple: [Southern Lebanon, crossedBy, Hasbani River]
  • A. Hasbani River chosen
    The Hasbani River is a major tributary of the upper Jordan River, originating in Lebanon and flowing southward toward Israel.
  • B. Abou Ali River
    The Abou Ali River is a coastal river in northern Lebanon that flows through the city of Tripoli and has historically been central to its urban life, trade, and periodic flooding.
  • C. Neda River
    The Neda River is a scenic river in southwestern Greece known for its waterfalls, gorges, and mythological association with the nymph Neda.
  • D. Haji Beg River
    The Haji Beg River is a tributary watercourse in the watershed of the Greater Zab in the mountainous region of Iraqi Kurdistan.
  • E. Yazgulem River
    The Yazgulem River is a significant mountain river in the Pamir region of Tajikistan, known for draining remote high-altitude valleys before joining the Panj River.
  • 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_69c0e2efb6d4819091ed08faec3b6c4a completed March 23, 2026, 6:51 a.m.
Created at: March 20, 2026, 1:27 p.m.