Triple
T21530941
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | HAAB |
E531224
|
entity |
| Predicate | hasRunway |
P105
|
FINISHED |
| Object | Runway 07R/25L |
—
|
NE NERFINISHED |
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 07R/25L | Statement: [HAAB, hasRunway, Runway 07R/25L]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Runway 07R/25L Context triple: [HAAB, hasRunway, Runway 07R/25L]
-
A.
Runway 07R/25L
Runway 07R/25L is one of the primary east–west runways at Los Angeles International Airport, used for handling a high volume of commercial air traffic.
-
B.
Runway 07R/25L
Runway 07R/25L is a primary east–west runway at Phoenix Sky Harbor International Airport used for both commercial and general aviation operations.
-
C.
Runway 07R/25L
Runway 07R/25L is one of the main paved runways at Tan Son Nhat International Airport in Ho Chi Minh City, Vietnam, used for handling commercial air traffic.
-
D.
Runway 07R/25L
Runway 07R/25L is a primary paved runway at Ted Stevens Anchorage International Airport used for handling large commercial and cargo aircraft operations.
-
E.
Runway 07R/25L
chosen
Runway 07R/25L is one of the main paved runways at Addis Ababa Bole International Airport, 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 (2 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_69e0c45e5b8881908ac18fc2f493b114 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ee9d08ebf881909574e098404f93fa |
completed | April 26, 2026, 11:17 p.m. |
Created at: April 16, 2026, 6:27 p.m.