Triple
T19506112
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FC Argeș Pitești |
E488023
|
entity |
| Predicate | youthSystemKnownFor |
P136174
|
FINISHED |
| Object | developing talented Romanian players |
—
|
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: developing talented Romanian players | Statement: [FC Argeș Pitești, youthSystemKnownFor, developing talented Romanian players]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: youthSystemKnownFor Context triple: [FC Argeș Pitești, youthSystemKnownFor, developing talented Romanian players]
-
A.
formerlyKnownFor
Indicates that an entity was previously recognized or notable for a particular role, attribute, or activity, but is no longer primarily associated with it.
-
B.
namedForKnownFor
Indicates that one entity is named after another entity specifically because that other entity is notable or recognized for something.
-
C.
segmentKnownFor
Indicates that a specific segment or portion of something is recognized or notable for a particular characteristic, feature, or association.
-
D.
followersKnownAs
Indicates that the followers of an entity are referred to by a particular name or label.
-
E.
highSchoolKnownFor
Indicates that a high school is notable or recognized for a particular characteristic, achievement, program, or feature.
- 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_69d8e8d9d1c88190b01cd78b8be49384 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e63511fc688190bd1474406060fa1b |
completed | April 20, 2026, 2:15 p.m. |
| PD | Predicate disambiguation | batch_69e4fd7bd25881908caa04eaef1f6718 |
completed | April 19, 2026, 4:06 p.m. |
| PDg | Predicate description generation | batch_69e5004d3a708190a1c13c8f644f3926 |
completed | April 19, 2026, 4:18 p.m. |
Created at: April 10, 2026, 1:40 p.m.