Triple
T19506082
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FC Argeș Pitești |
E488023
|
entity |
| Predicate | formerName |
P65
|
FINISHED |
| Object | Argeș Pitești |
—
|
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: Argeș Pitești | Statement: [FC Argeș Pitești, formerName, Argeș Pitești]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Argeș Pitești Context triple: [FC Argeș Pitești, formerName, Argeș Pitești]
-
A.
Bârlad
Bârlad is a town in eastern Romania, historically part of the Moldavia region and known as a local cultural and educational center.
-
B.
Pitești
chosen
Pitești is a city in southern Romania, known as an important industrial and transportation hub and the capital of Argeș County.
-
C.
Băilești
Băilești is a town in southwestern Romania, in Dolj County, known as a local agricultural and commercial center.
-
D.
Caransebeș
Caransebeș is a historic town in western Romania, situated in the Banat region and known as an important local cultural and transportation hub.
-
E.
Râmnicu Vâlcea
Râmnicu Vâlcea is a city in south-central Romania, located on the Olt River and serving as the capital of Vâlcea County.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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. |
Created at: April 10, 2026, 1:40 p.m.