Triple
T11440984
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zaragoza Airport |
E271141
|
entity |
| Predicate | hasRunway |
P105
|
FINISHED |
| Object | Runway 12L/30R |
E509711
|
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: [Zaragoza Airport, hasRunway, Runway 12L/30R]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Runway 12L/30R Context triple: [Zaragoza Airport, 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 a principal paved runway used for military and aviation operations at Zaragoza Air Base in Spain.
-
D.
Runway 12R/30L
Runway 12R/30L is a primary paved runway used for aircraft takeoffs and landings at Bahrain International Airport.
-
E.
Runway 12R/30L
Runway 12R/30L is one of the primary paved runways at Cancún International Airport, used for handling commercial air traffic at this major Mexican resort destination.
- 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_69d6aadeef688190874bcecd88b3dd9b |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d80888190c8190b6365550ffe4931c |
completed | April 9, 2026, 8:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f416f5e0588190b432a48bbbc6c762 |
completed | May 1, 2026, 2:59 a.m. |
Created at: April 8, 2026, 9:35 p.m.