Triple
T8674084
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michael J. Smith Field |
E205870
|
entity |
| Predicate | FAAIdentifier |
P420
|
FINISHED |
| Object | MRH |
E749104
|
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: MRH | Statement: [Michael J. Smith Field, FAAIdentifier, MRH]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MRH Context triple: [Michael J. Smith Field, FAAIdentifier, MRH]
-
A.
MRH
chosen
MRH is the IATA airport code for Michael J. Smith Field, a public airport serving Beaufort, North Carolina, in the United States.
-
B.
MR
MR is a Belgian French-speaking liberal political party that participated as one of the partners in the federal Vivaldi coalition government led by Alexander De Croo.
-
C.
MR
MR is the official vehicle registration code used on license plates for the city of Marburg in the German state of Hesse.
-
D.
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.
-
E.
MHS
MHS is the acronym for the U.S. Military Health System, the organization that provides healthcare services to active-duty service members, retirees, and their families.
- 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_69ca83529a9c8190b5c075b4f14636ed |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc491cee048190a6f6cddabada76dc |
completed | March 31, 2026, 10:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cef3960ce881908f07fb9fdafcd550 |
completed | April 2, 2026, 10:54 p.m. |
Created at: March 30, 2026, 6:31 p.m.