Triple
T7594479
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FC St. Gallen |
E179822
|
entity |
| Predicate | foundedAsOneOfOldest |
P58759
|
FINISHED |
| Object | one of the oldest football clubs in continental Europe |
—
|
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: one of the oldest football clubs in continental Europe | Statement: [FC St. Gallen, foundedAsOneOfOldest, one of the oldest football clubs in continental Europe]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: foundedAsOneOfOldest Context triple: [FC St. Gallen, foundedAsOneOfOldest, one of the oldest football clubs in continental Europe]
-
A.
oneOfTheOldestOn
chosen
Indicates that one entity is among the earliest or longest-existing examples within the set defined by another entity.
-
B.
oneOfOldestCities
Indicates that the subject is among the oldest cities within a specified group, region, or context.
-
C.
foundedBefore
Indicates that one entity was established or created at an earlier time than the other entity.
-
D.
isOldestCityIn
Indicates that one city holds the distinction of being the most ancient or earliest established within a specified region, country, or group of cities.
-
E.
oneOfOldestSchoolsIn
Indicates that the subject is among the oldest schools located in the specified place or region.
- 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_69c69f3487ec8190bf7acdf2dd91e6d6 |
completed | March 27, 2026, 3:16 p.m. |
| NER | Named-entity recognition | batch_69c6f9bbcd8081909a229d7faa2ffdc8 |
completed | March 27, 2026, 9:42 p.m. |
| PD | Predicate disambiguation | batch_69c6f4e2e42c8190afc802c4796c9cc2 |
completed | March 27, 2026, 9:21 p.m. |
Created at: March 27, 2026, 3:53 p.m.