Triple
T7708204
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stafford Regional Airport |
E174676
|
entity |
| Predicate | FAA LID |
P420
|
FINISHED |
| Object | RMN |
E682437
|
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: RMN | Statement: [Stafford Regional Airport, FAA LID, RMN]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: RMN Context triple: [Stafford Regional Airport, FAA LID, RMN]
-
A.
RMN
chosen
RMN is the three-letter IATA airport code assigned to Stafford Regional Airport in Stafford, Virginia, United States.
-
B.
RMF
RMF (Resource Measurement Facility) is an IBM performance monitoring and reporting tool used to analyze and manage system resources on z/OS mainframe environments.
-
C.
RM
RM is a South Korean rapper, songwriter, and leader of the globally renowned K-pop group BTS.
-
D.
RM
RM is the currency symbol that was used to denote the German Reichsmark, the former official currency of Germany from 1924 to 1948.
-
E.
MRN
MRN is the commonly used abbreviation for the Rhine-Neckar metropolitan region in southwestern Germany, a major economic and cultural hub spanning parts of Baden-Württemberg, Hesse, and Rhineland-Palatinate.
- 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_69c6995b3e8c8190833108f883d5f53c |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c702aadea08190bf827f5d51535224 |
completed | March 27, 2026, 10:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8b505c7f88190ac058c1a27d758ca |
completed | March 29, 2026, 5:13 a.m. |
Created at: March 27, 2026, 4:04 p.m.