Triple

T872696
Position Surface form Disambiguated ID Type / Status
Subject Black September conflict E18848 entity
Predicate location P40 FINISHED
Object Irbid E87274 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: Irbid | Statement: [Black September conflict, location, Irbid]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Irbid
Context triple: [Black September conflict, location, Irbid]
  • A. Irbid chosen
    Irbid is a large city in northern Jordan known as an important economic, educational, and cultural center.
  • B. Amman
    Amman is the capital and largest city of Jordan, serving as a major political, economic, and cultural center in the Arab world.
  • C. Qalqilya
    Qalqilya is a Palestinian city in the northwestern West Bank, known for being almost completely encircled by the Israeli West Bank barrier.
  • D. Aleppo
    Aleppo is an ancient and historically significant city in northern Syria, renowned for its rich cultural heritage, medieval architecture, and role as a major trading hub along the Silk Road.
  • E. Jarash Governorate
    Jarash Governorate is a region in northern Jordan known for its ancient Roman ruins at Jerash and its role in the country’s modern political and military history.
  • 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_69a4938db1f081909bcd1ad2713b6096 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4ac97d0f88190b67fcb7fc058e4b9 completed March 1, 2026, 9:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac16f749dc819097231c0becb4150b completed March 7, 2026, 12:15 p.m.
Created at: March 1, 2026, 7:39 p.m.