Triple

T1383568
Position Surface form Disambiguated ID Type / Status
Subject EET E29392 entity
Predicate usedInCountry P715 FINISHED
Object Jordan E11658 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: Jordan | Statement: [EET, usedInCountry, Jordan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jordan
Context triple: [EET, usedInCountry, Jordan]
  • A. Jordan chosen
    Jordan is a Middle Eastern country located at the crossroads of Asia, Africa, and Europe, known for its ancient archaeological sites like Petra and its strategic political role in the region.
  • B. Jordan
    Jordan is a popular Nike-owned athletic footwear and apparel brand originally inspired by basketball legend Michael Jordan and known for its iconic Air Jordan sneakers.
  • C. Masri
    Masri is a widely spoken modern Arabic dialect used primarily in Egypt, especially in everyday conversation and popular media.
  • D. Samaria
    Samaria is a historical region in the central highlands of ancient Israel and the West Bank, known as the capital area of the northern Kingdom of Israel and a significant biblical and archaeological site.
  • E. Isra
    Isra is the miraculous night journey in Islamic tradition during which the Prophet Muhammad is said to have traveled from Mecca to Jerusalem.
  • 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_69a498d883a48190bfdca525296ef7ee completed March 1, 2026, 7:51 p.m.
NER Named-entity recognition batch_69a4c3377b608190b915e6871c1fe86e completed March 1, 2026, 10:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69acd47917d88190a13d7705f09c0b58 completed March 8, 2026, 1:44 a.m.
Created at: March 1, 2026, 7:59 p.m.