Triple
T12506572
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alba County |
E298962
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object |
Câmpeni
Câmpeni is a small town in central Romania, located in the Apuseni Mountains region of Alba County and known historically for its role in Romanian national movements.
|
E986771
|
NE FINISHED |
How this triple was built (4 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: Câmpeni | Statement: [Alba County, hasCity, Câmpeni]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Câmpeni Context triple: [Alba County, hasCity, Câmpeni]
-
A.
Țara Bârsei
Țara Bârsei is a historic region in southeastern Transylvania, Romania, known for its dense concentration of medieval fortified churches and Saxon heritage.
-
B.
Costinești
Costinești is a Romanian Black Sea coastal resort village known for its youthful summer tourism, beaches, and lively nightlife.
-
C.
Câmpina
Câmpina is a town in southern Romania known historically as an important oil industry center and a gateway to the Prahova Valley.
-
D.
Zimnicea
Zimnicea is a town in southern Romania situated on the Danube River near the border with Bulgaria.
-
E.
Dorobanți
Dorobanți is an upscale residential and commercial neighborhood in northern Bucharest, known for its embassies, cafes, and elegant streets.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Câmpeni Triple: [Alba County, hasCity, Câmpeni]
Generated description
Câmpeni is a small town in central Romania, located in the Apuseni Mountains region of Alba County and known historically for its role in Romanian national movements.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Câmpeni Target entity description: Câmpeni is a small town in central Romania, located in the Apuseni Mountains region of Alba County and known historically for its role in Romanian national movements.
-
A.
Țara Bârsei
Țara Bârsei is a historic region in southeastern Transylvania, Romania, known for its dense concentration of medieval fortified churches and Saxon heritage.
-
B.
Costinești
Costinești is a Romanian Black Sea coastal resort village known for its youthful summer tourism, beaches, and lively nightlife.
-
C.
Câmpina
Câmpina is a town in southern Romania known historically as an important oil industry center and a gateway to the Prahova Valley.
-
D.
Zimnicea
Zimnicea is a town in southern Romania situated on the Danube River near the border with Bulgaria.
-
E.
Dorobanți
Dorobanți is an upscale residential and commercial neighborhood in northern Bucharest, known for its embassies, cafes, and elegant streets.
- F. None of above. chosen
Provenance (5 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_69d6ada4cd388190ae3bbf83ff87057a |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d9541ace208190a5149b6f18fa196d |
completed | April 10, 2026, 7:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f64bb778e081909bab2ef87226c6a0 |
completed | May 2, 2026, 7:08 p.m. |
| NEDg | Description generation | batch_69f64ce1b0ec8190bcbd245255e548b5 |
completed | May 2, 2026, 7:13 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f64da735f48190b051ce173c13e5b2 |
completed | May 2, 2026, 7:16 p.m. |
Created at: April 8, 2026, 9:57 p.m.