Triple
T8172439
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Runway C 16R/34L |
E190854
|
entity |
| Predicate | isParallelTo |
P1868
|
FINISHED |
| Object | Runway B 04/22 |
E189430
|
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 B 04/22 | Statement: [Runway C 16R/34L, isParallelTo, Runway B 04/22]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Runway B 04/22 Context triple: [Runway C 16R/34L, isParallelTo, Runway B 04/22]
-
A.
Runway B 04/22
chosen
Runway B 04/22 is one of the principal runways at Tokyo’s Haneda Airport, used for handling domestic and international air traffic operations.
-
B.
Runway 04/22
Runway 04/22 is a primary paved runway at Palmdale Regional Airport in California, used for general aviation and regional air traffic operations.
-
C.
Runway 04/22
Runway 04/22 is one of the primary paved runways at William P. Hobby Airport in Houston, Texas, used for commercial and general aviation operations.
-
D.
Runway 04/22
Runway 04/22 is one of LaGuardia Airport’s primary runways, used for handling a significant portion of the airport’s takeoff and landing traffic.
-
E.
Runway 04/22
Runway 04/22 is a primary paved runway at Leoš Janáček Airport Ostrava in the Czech Republic, used for handling both domestic and international air traffic.
- 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_69ca82c1c0a08190bf8692b4d91a03ca |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb4807c9808190ad91a9c688a4c7fd |
completed | March 31, 2026, 4:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce6cacb9188190853bc649c3c75d97 |
completed | April 2, 2026, 1:18 p.m. |
Created at: March 30, 2026, 5:39 p.m.