Triple
T38628556
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Denver Airport station |
E937382
|
entity |
| Predicate | distanceToDowntownByRail |
P65643
|
FINISHED |
| Object | approximately 23 miles |
—
|
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: approximately 23 miles | Statement: [Denver Airport station, distanceToDowntownByRail, approximately 23 miles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToDowntownByRail Context triple: [Denver Airport station, distanceToDowntownByRail, approximately 23 miles]
-
A.
distanceToRailhead
Indicates the measured distance between a location or object and the nearest railhead (rail transport access point).
-
B.
distanceToByRail
chosen
Indicates the distance between two locations when traveling via railway routes.
-
C.
distanceFromDowntown
Indicates the physical distance between a given location and the central downtown area.
-
D.
distanceFromGrandCentral
Indicates the spatial distance between a given entity and Grand Central.
-
E.
distanceFromSouthStation
Indicates the measured distance between a given location or entity and South Station.
- 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_69f76ed5ca3c81909288f61fbf37b359 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a037c9141dc819098d7fcc36e69882c |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a2026248190b894436a578d79ac |
completed | May 12, 2026, 7:06 p.m. |
Created at: May 3, 2026, 4:32 p.m.