Triple

T3858055
Position Surface form Disambiguated ID Type / Status
Subject Debub E90066 entity
Predicate borderWith P224 FINISHED
Object Gash-Barka E97352 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: Gash-Barka | Statement: [Debub, borderWith, Gash-Barka]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gash-Barka
Context triple: [Debub, borderWith, Gash-Barka]
  • A. Gash‑Barka chosen
    Gash‑Barka is a largely agricultural region in southwestern Eritrea known for its fertile land and role as one of the country’s main food-producing areas.
  • B. Safaga
    Safaga is a coastal town and port on Egypt’s Red Sea coast known for its diving sites, black sand beaches, and therapeutic tourism.
  • C. Ras Lanuf
    Ras Lanuf is a major oil port and industrial town on Libya’s Mediterranean coast, known for its large refinery and strategic role in the country’s petroleum exports.
  • D. Kassala
    Kassala is a city in eastern Sudan near the Eritrean border, known as a regional trade center and for its striking granite hills and cultural diversity.
  • E. Zintan
    Zintan is a town in western Libya known for its role in the Libyan Civil War and for being controlled by powerful local militias.
  • 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_69aed95b3c088190a8f85d19e6070599 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeec1e68f88190941c39221486f6ae completed March 9, 2026, 3:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69b51c7b37048190a22907ffc85140c3 completed March 14, 2026, 8:29 a.m.
Created at: March 9, 2026, 3:19 p.m.