Triple
T16888374
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Campbeltown Airport |
E421596
|
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: [Campbeltown Airport, hasNavigationAid, DME]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DME Context triple: [Campbeltown Airport, hasNavigationAid, 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
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.
-
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_69d889d470fc8190b4aec199636c0c56 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e3bbc2f6d081909c76fa2a6b87e083 |
completed | April 18, 2026, 5:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00c2befaa88190ba83dc17aa66b541 |
completed | May 10, 2026, 5:39 p.m. |
Created at: April 10, 2026, 5:29 a.m.