Triple

T3745377
Position Surface form Disambiguated ID Type / Status
Subject land of Moab E81196 entity
Predicate overlooks P1323 FINISHED
Object plains of Jericho E22242 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: plains of Jericho | Statement: [land of Moab, overlooks, plains of Jericho]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: plains of Jericho
Context triple: [land of Moab, overlooks, plains of Jericho]
  • A. Jericho chosen
    Jericho is an ancient city in the West Bank, often regarded as one of the oldest continuously inhabited settlements in the world and noted for its biblical significance.
  • B. Jezreel Valley
    Jezreel Valley is a large, fertile plain in northern Israel known for its rich agriculture and strategic historical significance as a crossroads of ancient trade and military routes.
  • C. Valley of Sorek
    The Valley of Sorek is a biblical valley in ancient Israel traditionally associated with the story of Samson and Delilah.
  • D. Shephelah
    Shephelah is a lowland region in central Israel characterized by rolling hills and valleys between the Judean Mountains and the coastal plain.
  • E. Gush Dan
    Gush Dan is the densely populated metropolitan area centered around Tel Aviv on Israel’s Mediterranean coast, encompassing numerous surrounding cities and suburbs.
  • 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_69ad8b19b7b08190a6188804e99c53e9 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adcb680ddc819094205beb342699f9 completed March 8, 2026, 7:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4db2c2c5081909b83d89c989a8d1c completed March 14, 2026, 3:51 a.m.
Created at: March 8, 2026, 3:35 p.m.