Triple
T7887897
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | KPAM |
E183149
|
entity |
| Predicate | hasRunway |
P105
|
FINISHED |
| Object | Runway 14/32 |
E450981
|
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: Runway 14/32 | Statement: [KPAM, hasRunway, Runway 14/32]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Runway 14/32 Context triple: [KPAM, hasRunway, Runway 14/32]
-
A.
Runway 14/32
chosen
Runway 14/32 is a primary paved runway at Monroe Regional Airport in Louisiana, used for commercial and general aviation operations.
-
B.
Runway 14/32
Runway 14/32 is a primary paved runway at Bern Airport in Switzerland, used for both commercial and general aviation operations.
-
C.
Runway 14/32
Runway 14/32 is a primary paved runway at New Bedford Regional Airport in Massachusetts, used for general aviation and commercial operations.
-
D.
Runway 14/32
Runway 14/32 is a primary paved runway at Buffalo Niagara International Airport used for commercial and general aviation takeoffs and landings under varying wind and weather conditions.
-
E.
Runway 14/32
Runway 14/32 is a primary paved runway at Charles M. Schulz–Sonoma County Airport in Santa Rosa, California, used for general aviation and commercial flights.
- 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_69ca828af6e48190a06ee7010d8f0e64 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb39d97460819089e37169813af5c2 |
completed | March 31, 2026, 3:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ccbdd1ad348190b0a01aa4a4f360d4 |
completed | April 1, 2026, 6:40 a.m. |
Created at: March 30, 2026, 4:59 p.m.