Triple
T10880459
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Runway 4R (Newark) |
E256905
|
entity |
| Predicate | hasApproachLightingSystem |
P79791
|
FINISHED |
| Object | precision approach path indicator (PAPI) |
—
|
LITERAL 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: precision approach path indicator (PAPI) | Statement: [Runway 4R (Newark), hasApproachLightingSystem, precision approach path indicator (PAPI)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasApproachLightingSystem Context triple: [Runway 4R (Newark), hasApproachLightingSystem, precision approach path indicator (PAPI)]
-
A.
hasRunwayLighting
Indicates that a runway is equipped with lighting systems to aid visibility and operations, typically during low-light or night conditions.
-
B.
hasApproachControl
Indicates that one entity exercises approach control authority or responsibility over another entity, typically managing its approach phase or access.
-
C.
hasVehicleFeature
Indicates that a vehicle possesses, includes, or is equipped with a specific feature or characteristic.
-
D.
hasLightningLane
Indicates that an attraction, experience, or location offers access via a Lightning Lane queue or reservation system.
-
E.
hasLightEmittingElement
chosen
Indicates that one entity includes or is equipped with a component that emits light.
- F. None of above.
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_69d6aa848804819081b2713ca0bedf06 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d751b031a88190b1182dfc1f520264 |
completed | April 9, 2026, 7:13 a.m. |
| PD | Predicate disambiguation | batch_69d70d360c388190a3d829fe8862434f |
completed | April 9, 2026, 2:21 a.m. |
Created at: April 8, 2026, 9:21 p.m.