Triple
T21073053
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Delhi–Meerut Expressway |
E519156
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object | DME |
—
|
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: DME | Statement: [Delhi–Meerut Expressway, abbreviation, DME]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DME Context triple: [Delhi–Meerut Expressway, abbreviation, DME]
-
A.
DME
DME is the IATA airport code for Moscow’s Domodedovo International Airport, one of the major airports serving the Russian capital.
-
B.
DME
DME is a radio navigation system used in aviation to provide pilots with precise distance information from an aircraft to a ground-based station.
-
C.
DME
chosen
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.
DMS
DMS is a program within the North Carolina Department of Environmental Quality that plans, implements, and manages mitigation projects to restore and protect the state’s wetlands, streams, and riparian buffers.
- 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_69e0b506e59c8190849b71ed07929215 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e702d491a08190a9f5f28c0b72d38c |
completed | April 21, 2026, 4:53 a.m. |
Created at: April 16, 2026, 2:47 p.m.