Triple

T13862410
Position Surface form Disambiguated ID Type / Status
Subject Srinagar International Airport E333228 entity
Predicate hasNavigationAid P8170 FINISHED
Object DME E254308 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: DME | Statement: [Srinagar International Airport, hasNavigationAid, DME]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: DME
Context triple: [Srinagar International Airport, hasNavigationAid, DME]
  • A. DME chosen
    DME is a radio navigation system used in aviation to provide pilots with precise distance information from an aircraft to a ground-based station.
  • B. DME
    DME is the IATA airport code for Moscow’s Domodedovo International Airport, one of the major airports serving the Russian capital.
  • C. DME
    DME is a high-speed expressway in northern India that connects Delhi with the city of Meerut to reduce travel time and ease regional traffic congestion.
  • D. DMS
    DMS is the acronym for the Florida Department of Management Services, the state agency responsible for overseeing business, workforce, and support services for Florida’s government.
  • E. DHE
    DHE is the Massachusetts state agency responsible for coordinating and overseeing public higher education institutions and policies.
  • 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_69d81c5ced9c8190b0e9bcc6effe5959 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de05c20db88190acb842748aa01039 completed April 14, 2026, 9:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7c0ff1f78819088ae58f703e2c9ff completed May 3, 2026, 9:41 p.m.
Created at: April 9, 2026, 10:14 p.m.