Triple
T38056946
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | De Klassieker |
E950230
|
entity |
| Predicate | cityOfFirstClub |
P30008
|
FINISHED |
| Object | Amsterdam |
—
|
NE NERFINISHED |
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: Amsterdam | Statement: [De Klassieker, cityOfFirstClub, Amsterdam]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cityOfFirstClub Context triple: [De Klassieker, cityOfFirstClub, Amsterdam]
-
A.
hometownClubOf
Indicates that a club is recognized as the hometown or local club associated with a particular person or entity.
-
B.
leagueDebutClub
Indicates the club for which an individual made their first appearance in a particular league.
-
C.
firstSeasonClubName
Indicates the name of the club a person or player was associated with in their first season.
-
D.
homeGroundOfAssociatedClub
Indicates that a particular venue or ground serves as the designated home location for an associated sports club.
-
E.
parentClubCity
chosen
Indicates that a sports club is based in or belongs to a particular city as its home location.
- 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_69f76f01e63c819093b6012fc974f35a |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fc4748843c8190931432653be4890c |
completed | May 7, 2026, 8:03 a.m. |
| PD | Predicate disambiguation | batch_69fc45646ce481908caf292ff9f06e15 |
completed | May 7, 2026, 7:55 a.m. |
Created at: May 3, 2026, 4:21 p.m.