Triple

T3098417
Position Surface form Disambiguated ID Type / Status
Subject Jezreel Valley E64656 entity
Predicate near P350 FINISHED
Object Afula E104863 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: Afula | Statement: [Jezreel Valley, near, Afula]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Afula
Context triple: [Jezreel Valley, near, Afula]
  • A. Afula chosen
    Afula is a city in northern Israel often referred to as the "Capital of the Jezreel Valley," serving as a regional commercial and transportation hub.
  • B. Iluka
    Iluka is a small coastal town in northern New South Wales, Australia, known for its beaches, fishing, and proximity to the Clarence River and Iluka Nature Reserve.
  • C. Zaria
    Zaria is a historic city in northern Nigeria known as an important center of Hausa culture, Islamic scholarship, and trade.
  • D. Tarhuna
    Tarhuna is a town in northwestern Libya, southeast of Tripoli, known for its strategic role and tribal influence during the Libyan civil conflicts.
  • E. Surulere
    Surulere is a bustling residential and commercial district on Lagos Mainland in Nigeria, known for its vibrant markets, entertainment scene, and dense urban neighborhoods.
  • 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_69ad857dc98481909e585dc3372e3ed5 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada23dde988190a1aca020685594f3 completed March 8, 2026, 4:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69b20378a1488190bd0fa7d3f4639220 completed March 12, 2026, 12:06 a.m.
Created at: March 8, 2026, 3:03 p.m.