Triple
T4907709
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Genoa Cristoforo Colombo Airport |
E109951
|
entity |
| Predicate | distanceToCityCenterMiles |
P1299
|
FINISHED |
| Object | about 4.3 |
—
|
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: about 4.3 | Statement: [Genoa Cristoforo Colombo Airport, distanceToCityCenterMiles, about 4.3]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToCityCenterMiles Context triple: [Genoa Cristoforo Colombo Airport, distanceToCityCenterMiles, about 4.3]
-
A.
distanceFromDowntown
chosen
Indicates the physical distance between a given location and the central downtown area.
-
B.
approximateLengthInMiles
Indicates the estimated distance or extent of something measured in miles.
-
C.
distanceFromHanaTown (miles)
Indicates the number of miles separating a given place or entity from Hana Town.
-
D.
approximateGreatCircleDistanceMiles
Indicates the approximate distance, measured in miles, between two locations along the great-circle path on the surface of a sphere (typically the Earth).
-
E.
directionFromCityCenter
Indicates the compass direction in which one location lies relative to the city center.
- 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_69bd441180708190ba42ffb44fea533a |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6e7452d481909078a0027e2a4566 |
completed | March 20, 2026, 3:57 p.m. |
| PD | Predicate disambiguation | batch_69bd6c325e188190823836d79934e9bc |
completed | March 20, 2026, 3:48 p.m. |
Created at: March 20, 2026, 1:29 p.m.