Triple
T15404974
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Delaware Stadium |
E368427
|
entity |
| Predicate | hasEndZoneDesign |
P118664
|
FINISHED |
| Object | Delaware Fightin' Blue Hens branding |
—
|
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: Delaware Fightin' Blue Hens branding | Statement: [Delaware Stadium, hasEndZoneDesign, Delaware Fightin' Blue Hens branding]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasEndZoneDesign Context triple: [Delaware Stadium, hasEndZoneDesign, Delaware Fightin' Blue Hens branding]
-
A.
hasEndZoneSeating
Indicates that seating is available in the end zone area of a sports venue.
-
B.
hasEndZonesColor
Indicates that the specified color is the one used for the end zones associated with an entity.
-
C.
interceptionYardLine
Indicates the yard line on the field where an interception occurs during a play.
-
D.
outfieldSurface
Indicates the type or condition of the playing surface specifically in the outfield area of a sports field.
-
E.
hasRunwayDesignationSide
Indicates that a runway designation is associated with a specific side or direction of the runway (e.g., left, right, or center).
- F. None of above. chosen
Provenance (4 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_69d85a16c68c819099c1b547fbc87b32 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e8fde64819082ec0c68df305561 |
completed | April 16, 2026, 1:42 a.m. |
| PD | Predicate disambiguation | batch_69ded27b8cac8190bfa77698d53c5d1c |
completed | April 14, 2026, 11:49 p.m. |
| PDg | Predicate description generation | batch_69ded57005608190886cd01f640dfedb |
completed | April 15, 2026, 12:01 a.m. |
Created at: April 10, 2026, 3:20 a.m.