Triple
T7473312
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MSP |
E176562
|
entity |
| Predicate | hasRunway |
P105
|
FINISHED |
| Object | Runway 12L/30R |
E176567
|
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 12L/30R | Statement: [MSP, hasRunway, Runway 12L/30R]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Runway 12L/30R Context triple: [MSP, hasRunway, Runway 12L/30R]
-
A.
Runway 12L/30R
Runway 12L/30R is one of the primary parallel runways at San Jose International Airport, used for handling a significant portion of the airport’s takeoff and landing traffic.
-
B.
Runway 12L/30R
Runway 12L/30R is a primary paved runway used for aircraft takeoffs and landings at Montpellier-Méditerranée Airport in southern France.
-
C.
Runway 12R/30L
chosen
Runway 12R/30L is one of the primary paved runways at Minneapolis–Saint Paul International Airport, used for handling a significant share of the airport’s commercial air traffic.
-
D.
Runway 12R/30L
Runway 12R/30L is a primary paved runway at San Jose International Airport used for commercial and general aviation takeoffs and landings.
-
E.
Runway 12R/30L
Runway 12R/30L is a primary paved runway used for aircraft takeoffs and landings at Bahrain International Airport.
- 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_69c69f223fd88190b4c69b95d7cbeeda |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f416d018819098275cc51d8def3f |
completed | March 27, 2026, 9:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c9e05085588190ba940f2a5280a57e |
completed | March 30, 2026, 2:30 a.m. |
Created at: March 27, 2026, 3:41 p.m.