Triple
T349795
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | San Jose International Airport |
E7416
|
entity |
| Predicate | runway |
P1654
|
FINISHED |
| Object | Runway 12R/30L |
E44874
|
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 12R/30L | Statement: [San Jose International Airport, runway, Runway 12R/30L]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Runway 12R/30L Context triple: [San Jose International Airport, runway, Runway 12R/30L]
-
A.
Runway 12L/30R
chosen
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 14L/32R
Runway 14L/32R is one of the primary paved runways at Moffett Field in California, used for military, research, and general aviation operations.
-
C.
Runway 14R/32L
Runway 14R/32L is a primary paved runway at Moscow’s Domodedovo International Airport used for handling commercial air traffic.
-
D.
Runway 14R/32L
Runway 14R/32L is a primary paved runway at Moffett Field in California, used for military, research, and general aviation operations.
-
E.
Runway 10L/28R
Runway 10L/28R is one of the primary parallel runways at San Francisco International Airport, used extensively for both arrivals and departures.
- 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_69a2e7e696948190bebc966535995e45 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2eb1dc5f88190b54d084c6def7fc5 |
completed | Feb. 28, 2026, 1:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a3e0165b6481909345301df3f2144d |
completed | March 1, 2026, 6:43 a.m. |
Created at: Feb. 28, 2026, 1:08 p.m.