Triple

T9824184
Position Surface form Disambiguated ID Type / Status
Subject Al Wahat District E238611 entity
Predicate formerName P65 FINISHED
Object Al Wahat Shabiya E822519 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: Al Wahat Shabiya | Statement: [Al Wahat District, formerName, Al Wahat Shabiya]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Al Wahat Shabiya
Context triple: [Al Wahat District, formerName, Al Wahat Shabiya]
  • A. Al Wahat chosen
    Al Wahat is a region in northeastern Libya known for its desert oases and role in the country’s oil-producing area.
  • B. Al Twar
    Al Twar is a residential and commercial locality in eastern Dubai, United Arab Emirates, known for its community facilities and proximity to major transport links.
  • C. Al Wajh
    Al Wajh is a coastal town and port on the Red Sea in northwestern Saudi Arabia’s Hejaz region.
  • D. Al-Awja
    Al-Awja is a small village near Tikrit in northern Iraq, best known as the birthplace and burial site of former Iraqi president Saddam Hussein.
  • E. Al Furjan
    Al Furjan is a master-planned residential community in Dubai, United Arab Emirates, known for its family-friendly environment, villas and apartments, and proximity to major city hubs.
  • 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_69ca84e0dd1881909800765d1e21f735 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb316f8948190ada3738787a5cb6a completed April 2, 2026, 12:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1d5b9110881909405d94e0db40eac completed April 5, 2026, 3:23 a.m.
Created at: March 30, 2026, 8:31 p.m.