Triple
T19506273
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DN73 |
E488029
|
entity |
| Predicate | passesThrough |
P225
|
FINISHED |
| Object |
Rucăr
Rucăr is a commune in Argeș County, Romania, known for its scenic Carpathian mountain landscapes and traditional rural character.
|
E1387253
|
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: Rucăr | Statement: [DN73, passesThrough, Rucăr]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rucăr Context triple: [DN73, passesThrough, Rucăr]
-
A.
Reșița
Reșița is an industrial city in western Romania, historically known as a major center of steel production and engineering in the Banat region.
-
B.
Oltișor River
The Oltișor River is a smaller watercourse in Romania that serves as a left-bank tributary of the Olteț River within its regional drainage basin.
-
C.
Caraș River
The Caraș River is a watercourse in southwestern Romania and northeastern Serbia that flows through the Banat region before joining the Danube basin.
-
D.
Zalău
Zalău is a city in northwestern Romania that serves as the capital of Sălaj County in the historical region of Transylvania.
-
E.
Crișul
Crișul is a river system in western Romania and eastern Hungary, known in Hungarian as Körös, that flows into the Tisza River.
- 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: Rucăr Triple: [DN73, passesThrough, Rucăr]
Generated description
Rucăr is a commune in Argeș County, Romania, known for its scenic Carpathian mountain landscapes and traditional rural character.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Rucăr Target entity description: Rucăr is a commune in Argeș County, Romania, known for its scenic Carpathian mountain landscapes and traditional rural character.
-
A.
Reșița
Reșița is an industrial city in western Romania, historically known as a major center of steel production and engineering in the Banat region.
-
B.
Oltișor River
The Oltișor River is a smaller watercourse in Romania that serves as a left-bank tributary of the Olteț River within its regional drainage basin.
-
C.
Caraș River
The Caraș River is a watercourse in southwestern Romania and northeastern Serbia that flows through the Banat region before joining the Danube basin.
-
D.
Zalău
Zalău is a city in northwestern Romania that serves as the capital of Sălaj County in the historical region of Transylvania.
-
E.
Crișul
Crișul is a river system in western Romania and eastern Hungary, known in Hungarian as Körös, that flows into the Tisza River.
- 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_69d8e8d9d1c88190b01cd78b8be49384 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e63511fc688190bd1474406060fa1b |
completed | April 20, 2026, 2:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a07719e60a48190bf4c54af72900b87 |
completed | May 15, 2026, 7:18 p.m. |
| NEDg | Description generation | batch_6a07780c685881909b3926b75baa01f2 |
completed | May 15, 2026, 7:46 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0778c1cfb881909ab613cd4e125120 |
completed | May 15, 2026, 7:49 p.m. |
Created at: April 10, 2026, 1:40 p.m.