Triple
T4926418
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2006 College World Series |
E110586
|
entity |
| Predicate | hostCitySince |
P3872
|
FINISHED |
| Object | 1950 |
—
|
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: 1950 | Statement: [2006 College World Series, hostCitySince, 1950]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hostCitySince Context triple: [2006 College World Series, hostCitySince, 1950]
-
A.
hostCityRenamed
Indicates that the city hosting an event has undergone a name change from its previous official designation.
-
B.
homeCitySince
chosen
Indicates the city that has served as an entity’s home starting from a specified point in time.
-
C.
previousHostCity
Indicates that one city served as the immediately preceding host city relative to another in a sequence of hosting events.
-
D.
longtimeHostCity
Indicates that a city has hosted a particular event or activity repeatedly over an extended period of time.
-
E.
hostCityPreviousOlympicsInCity
Indicates that the city served as the host city for a previous edition of the Olympic Games held in that same city.
- 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_69bd4415190c8190817bee7ec9f9f944 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd70354bd081909291a43439f42ed3 |
completed | March 20, 2026, 4:05 p.m. |
| PD | Predicate disambiguation | batch_69bd6c3695c8819094e7ad2f6d4ba1ac |
completed | March 20, 2026, 3:48 p.m. |
Created at: March 20, 2026, 1:30 p.m.