Triple
T6246127
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maramureș region |
E139724
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Săpânța
Săpânța is a village in northern Romania renowned for its colorful and humorous "Merry Cemetery," a unique open-air museum of painted wooden crosses and epitaphs.
|
E581934
|
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: Săpânța | Statement: [Maramureș region, contains, Săpânța]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Săpânța Context triple: [Maramureș region, contains, Săpânța]
-
A.
Cernavodă
Cernavodă is a town in southeastern Romania best known for its major Danube–Black Sea Canal port and the nearby Cernavodă Nuclear Power Plant.
-
B.
Bârlad
Bârlad is a town in eastern Romania, historically part of the Moldavia region and known as a local cultural and educational center.
-
C.
Rădăuți
Rădăuți is a historic town in northeastern Romania known for its cultural heritage and proximity to the painted monasteries of Bukovina.
-
D.
Băilești
Băilești is a town in southwestern Romania, in Dolj County, known as a local agricultural and commercial center.
-
E.
Ungheni
Ungheni is a town situated on the Prut River in western Moldova, known as an important border crossing and transport hub between Moldova and Romania.
- 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: Săpânța Triple: [Maramureș region, contains, Săpânța]
Generated description
Săpânța is a village in northern Romania renowned for its colorful and humorous "Merry Cemetery," a unique open-air museum of painted wooden crosses and epitaphs.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Săpânța Target entity description: Săpânța is a village in northern Romania renowned for its colorful and humorous "Merry Cemetery," a unique open-air museum of painted wooden crosses and epitaphs.
-
A.
Cernavodă
Cernavodă is a town in southeastern Romania best known for its major Danube–Black Sea Canal port and the nearby Cernavodă Nuclear Power Plant.
-
B.
Bârlad
Bârlad is a town in eastern Romania, historically part of the Moldavia region and known as a local cultural and educational center.
-
C.
Rădăuți
Rădăuți is a historic town in northeastern Romania known for its cultural heritage and proximity to the painted monasteries of Bukovina.
-
D.
Băilești
Băilești is a town in southwestern Romania, in Dolj County, known as a local agricultural and commercial center.
-
E.
Ungheni
Ungheni is a town situated on the Prut River in western Moldova, known as an important border crossing and transport hub between Moldova and Romania.
- 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_69c008b1c5088190ae6de2555fc05ad8 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0631d9e648190a59ab4001f506424 |
completed | March 22, 2026, 9:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c5191599d0819098a1b20b9d680f4b |
completed | March 26, 2026, 11:31 a.m. |
| NEDg | Description generation | batch_69c51cdb2f10819096c9651fd897709a |
completed | March 26, 2026, 11:47 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c522ca4c4081908a07e5d439c0a3c0 |
completed | March 26, 2026, 12:12 p.m. |
Created at: March 22, 2026, 4:23 p.m.