Triple
T19204483
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Boshamer Stadium |
E480194
|
entity |
| Predicate | hasDugoutLocation |
P134959
|
FINISHED |
| Object | first-base side home dugout |
—
|
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: first-base side home dugout | Statement: [Boshamer Stadium, hasDugoutLocation, first-base side home dugout]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDugoutLocation Context triple: [Boshamer Stadium, hasDugoutLocation, first-base side home dugout]
-
A.
hasDugouts
Indicates that one entity possesses or contains dugout areas or structures associated with it.
-
B.
hasPitBuilding
Indicates that an entity possesses or includes a structure specifically designated as a pit building.
-
C.
hasPorchLocation
Indicates the spatial location or placement of a porch relative to another referenced entity.
-
D.
hasPit
Indicates that one entity possesses, contains, or is characterized by a pit or hollow space.
-
E.
hasBasement
Indicates that a building or structure includes a basement level as part of its physical layout.
- 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_69d8e8cb8c348190b52075823911c869 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5f99b37c081908c13e0b4cca52aa4 |
completed | April 20, 2026, 10:02 a.m. |
| PD | Predicate disambiguation | batch_69e4dcf22b3c8190bee02e3af946e114 |
completed | April 19, 2026, 1:47 p.m. |
| PDg | Predicate description generation | batch_69e4ddcf50108190a09d0f1291c17374 |
completed | April 19, 2026, 1:51 p.m. |
Created at: April 10, 2026, 1:17 p.m.