Triple

T17991886
Position Surface form Disambiguated ID Type / Status
Subject Dubai Land Department E430393 entity
Predicate abbreviation P43 FINISHED
Object DLD NE NERFINISHED

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: DLD | Statement: [Dubai Land Department, abbreviation, DLD]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: DLD
Context triple: [Dubai Land Department, abbreviation, DLD]
  • A. DLD
    DLD is the commonly used abbreviation for the Division of Lung Diseases, a research-focused branch typically associated with studying and addressing respiratory and pulmonary conditions.
  • B. DLD chosen
    DLD is the Dubai Land Department, the government authority responsible for regulating, documenting, and overseeing real estate transactions and property registration in Dubai.
  • C. PLD
    PLD is a political party in Panama.
  • D. DLS
    DLS is a conference that forms part of the SPLASH event, focusing on research and advances in dynamic languages and their applications.
  • E. DLT
    DLT is the National Rail station code for Dalton-in-Furness railway station in Cumbria, England.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b90364248190a37381adea932f42 completed April 10, 2026, 8:46 a.m.
NER Named-entity recognition batch_69e4b29fd7648190b7f09ea60c7b96a8 completed April 19, 2026, 10:46 a.m.
Created at: April 10, 2026, 10:23 a.m.