Triple
T10092356
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Constanța County |
E215372
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Hârșova
Hârșova is a small town in southeastern Romania, situated on the right bank of the Danube River and known for its historical and archaeological significance.
|
E847899
|
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: Hârșova | Statement: [Constanța County, contains, Hârșova]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hârșova Context triple: [Constanța County, contains, Hârșova]
-
A.
Băilești
Băilești is a town in southwestern Romania, in Dolj County, known as a local agricultural and commercial center.
-
B.
Râmnicu Vâlcea
Râmnicu Vâlcea is a city in south-central Romania, located on the Olt River and serving as the capital of Vâlcea County.
-
C.
Miercurea Ciuc
Miercurea Ciuc is a town in eastern Transylvania, Romania, known as a cultural center of the Székely Hungarian community and for its cold climate.
-
D.
Soroca
Soroca is a historic town in northern Moldova known for its well-preserved medieval fortress on the banks of the Dniester River.
-
E.
Buzău
Buzău is a city in southeastern Romania, serving as the capital of Buzău County and an important regional economic and cultural center.
- 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: Hârșova Triple: [Constanța County, contains, Hârșova]
Generated description
Hârșova is a small town in southeastern Romania, situated on the right bank of the Danube River and known for its historical and archaeological significance.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hârșova Target entity description: Hârșova is a small town in southeastern Romania, situated on the right bank of the Danube River and known for its historical and archaeological significance.
-
A.
Băilești
Băilești is a town in southwestern Romania, in Dolj County, known as a local agricultural and commercial center.
-
B.
Râmnicu Vâlcea
Râmnicu Vâlcea is a city in south-central Romania, located on the Olt River and serving as the capital of Vâlcea County.
-
C.
Miercurea Ciuc
Miercurea Ciuc is a town in eastern Transylvania, Romania, known as a cultural center of the Székely Hungarian community and for its cold climate.
-
D.
Soroca
Soroca is a historic town in northern Moldova known for its well-preserved medieval fortress on the banks of the Dniester River.
-
E.
Buzău
Buzău is a city in southeastern Romania, serving as the capital of Buzău County and an important regional economic and cultural center.
- 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_69ca83a1eed081908b2e9580f2ebeea7 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cdd05c3c0c8190927580717429a4e5 |
completed | April 2, 2026, 2:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d32a950bc081909699d6bb31935cbd |
completed | April 6, 2026, 3:37 a.m. |
| NEDg | Description generation | batch_69d32b53c600819080d476d292355f1c |
completed | April 6, 2026, 3:41 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d32bb24ddc8190917fb78a263e671f |
completed | April 6, 2026, 3:42 a.m. |
Created at: March 30, 2026, 9:01 p.m.