Triple
T5257781
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LSV |
E118742
|
entity |
| Predicate | hasRunway |
P105
|
FINISHED |
| Object | Runway 03L/21R |
unclear NED1
|
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 03L/21R | Statement: [LSV, hasRunway, Runway 03L/21R]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Runway 03L/21R Context triple: [LSV, hasRunway, Runway 03L/21R]
-
A.
Runway 03L/21R
Runway 03L/21R is one of the primary paved runways at Panama City’s Tocumen International Airport, used for handling commercial air traffic.
-
B.
Runway 03L/21R
Runway 03L/21R is one of the primary paved runways used for aircraft takeoffs and landings at Esenboğa International Airport in Ankara, Turkey.
-
C.
Runway 05L/23R
Runway 05L/23R is one of the main parallel runways at Manchester Airport, used for handling a high volume of commercial air traffic.
-
D.
Runway 05L/23R
Runway 05L/23R is one of the primary parallel runways used for takeoffs and landings at Taiwan Taoyuan International Airport, the main international gateway to Taiwan.
-
E.
Runway 05L/23R
Runway 05L/23R is a primary paved runway at Auckland Airport used for handling commercial air traffic operations.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide. chosen
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_69bd446978108190bb5f9c5c23d93f88 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7ba64fe48190943e7d49f6e1449a |
completed | March 20, 2026, 4:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6855bd42c8190a9fbebd5176d63fd |
completed | March 27, 2026, 1:25 p.m. |
Created at: March 20, 2026, 1:50 p.m.