Triple
T11626528
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mather Airport |
E276284
|
entity |
| Predicate | FAA LID |
P420
|
FINISHED |
| Object | MHR |
E938376
|
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: MHR | Statement: [Mather Airport, FAA LID, MHR]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MHR Context triple: [Mather Airport, FAA LID, MHR]
-
A.
MHR
chosen
MHR is the three-letter IATA airport code for Mather Airport, a public airport serving the Sacramento, California area.
-
B.
mhr
mhr is the ISO 639-3 code for Meadow Mari, a Uralic language spoken primarily in the Mari El Republic of Russia.
-
C.
MRH
MRH is the IATA airport code for Michael J. Smith Field, a public airport serving Beaufort, North Carolina, in the United States.
-
D.
MH
MH is the two-letter ISO 3166-1 alpha-2 country code representing the Republic of the Marshall Islands.
-
E.
MH
MH is the two-letter IATA airline designator used to identify Malaysia Airlines on tickets, timetables, and flight numbers.
- 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_69d6aafa51148190ab84940694c00235 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a12416908190ac2dcd7f7ebb308f |
completed | April 10, 2026, 7:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ef135cde4881908d1cf9f752592d60 |
completed | April 27, 2026, 7:42 a.m. |
Created at: April 8, 2026, 9:39 p.m.