Triple
T25927084
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Victory Field |
E653334
|
entity |
| Predicate | distanceToDowntownSkylineView |
P1299
|
FINISHED |
| Object | outfield view of Indianapolis skyline |
—
|
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: outfield view of Indianapolis skyline | Statement: [Victory Field, distanceToDowntownSkylineView, outfield view of Indianapolis skyline]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToDowntownSkylineView Context triple: [Victory Field, distanceToDowntownSkylineView, outfield view of Indianapolis skyline]
-
A.
distanceFromDowntown
chosen
Indicates the physical distance between a given location and the central downtown area.
-
B.
distance to Midtown Manhattan (miles)
Indicates the physical separation between a location and Midtown Manhattan, measured in miles.
-
C.
nearDowntown
Indicates that one location is situated close to or within a short distance of a city’s downtown area.
-
D.
isLocatedDowntown
Indicates that an entity is situated within the downtown area of a city or town.
-
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_69e7ab3eb9b881909c1390690551f868 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69fcec5f8b448190b48330a19b462d24 |
completed | May 7, 2026, 7:47 p.m. |
| PD | Predicate disambiguation | batch_69fceaf1e23881908ca24160a638e329 |
completed | May 7, 2026, 7:41 p.m. |
Created at: April 22, 2026, 8:35 a.m.