Triple
T18216456
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Monon Bell Classic |
E436171
|
entity |
| Predicate | hasSeriesRecord |
P130286
|
FINISHED |
| Object | long‑running series between DePauw and Wabash |
—
|
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: long‑running series between DePauw and Wabash | Statement: [Monon Bell Classic, hasSeriesRecord, long‑running series between DePauw and Wabash]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSeriesRecord Context triple: [Monon Bell Classic, hasSeriesRecord, long‑running series between DePauw and Wabash]
-
A.
hasSeriesStructure
Indicates that one entity is organized as a sequence or series of related components or parts.
-
B.
hasSeriesDefinition
Indicates that something is associated with a specific series-level definition that characterizes or constrains it.
-
C.
hasSeriesNumber
Indicates that an entity is assigned a specific ordinal or sequence number within a series or ordered set.
-
D.
hasMainSeriesEntry
Indicates that an entity is a primary or canonical installment within a larger series or sequence of related works.
-
E.
hasStandardSeries
Indicates that an entity is associated with, or belongs to, a designated standard series or standardized sequence.
- 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_69d8b9103a8081908bbb0836fef10efd |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4e47765a081908d0bbca1245f89ba |
completed | April 19, 2026, 2:19 p.m. |
| PD | Predicate disambiguation | batch_69e4332155d88190b106d0dceb4554af |
completed | April 19, 2026, 1:42 a.m. |
| PDg | Predicate description generation | batch_69e438f684e48190b38c64b58c518b6a |
completed | April 19, 2026, 2:07 a.m. |
Created at: April 10, 2026, 10:32 a.m.