Triple
T28266119
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lupii Galbeni |
E712707
|
entity |
| Predicate | associatedClubCounty |
P139405
|
FINISHED |
| Object | Prahova County |
—
|
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: Prahova County | Statement: [Lupii Galbeni, associatedClubCounty, Prahova County]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedClubCounty Context triple: [Lupii Galbeni, associatedClubCounty, Prahova County]
-
A.
clubsCounty
chosen
Indicates that a club is located in, associated with, or belongs to a particular county.
-
B.
associatedClub2
Indicates that an entity has a secondary or additional affiliation or membership with a particular club.
-
C.
associatedClub1
Indicates that an entity has a primary or first-listed association with a particular club or organization.
-
D.
playsForCounty
Indicates that an individual is a member of and represents a specific county team, typically in a sporting context.
-
E.
hometownClubOf
Indicates that a club is recognized as the hometown or local club associated with a particular person or entity.
- 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_69efb5216c6881908020dce4aea65381 |
completed | April 27, 2026, 7:12 p.m. |
| NER | Named-entity recognition | batch_6a0117b6539c8190be7d231e891fe546 |
completed | May 10, 2026, 11:41 p.m. |
| PD | Predicate disambiguation | batch_6a011762f7ec8190afc884b92419d33f |
completed | May 10, 2026, 11:40 p.m. |
Created at: April 27, 2026, 11:14 p.m.