Triple
T10092352
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Constanța County |
E215372
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Eforie
Eforie is a Romanian Black Sea resort town known for its beaches and therapeutic mud treatments.
|
E841862
|
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: Eforie | Statement: [Constanța County, contains, Eforie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eforie Context triple: [Constanța County, contains, Eforie]
-
A.
Râmnicu Sărat
Râmnicu Sărat is a town in eastern Romania, historically known as a market and military center and for the nearby former political prison that operated during the communist era.
-
B.
Tulcea
Tulcea is a city in southeastern Romania that serves as a key gateway to the Danube Delta and an important regional port and cultural center.
-
C.
Baia Mare
Baia Mare is a city in northwestern Romania known for its mining history, surrounding Carpathian landscapes, and role as an important regional cultural and economic center.
-
D.
Tighina
Tighina is a historic city in present-day Moldova, also known as Bender, which has long held strategic importance on the Dniester River.
-
E.
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.
- 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: Eforie Triple: [Constanța County, contains, Eforie]
Generated description
Eforie is a Romanian Black Sea resort town known for its beaches and therapeutic mud treatments.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Eforie Target entity description: Eforie is a Romanian Black Sea resort town known for its beaches and therapeutic mud treatments.
-
A.
Râmnicu Sărat
Râmnicu Sărat is a town in eastern Romania, historically known as a market and military center and for the nearby former political prison that operated during the communist era.
-
B.
Tulcea
Tulcea is a city in southeastern Romania that serves as a key gateway to the Danube Delta and an important regional port and cultural center.
-
C.
Baia Mare
Baia Mare is a city in northwestern Romania known for its mining history, surrounding Carpathian landscapes, and role as an important regional cultural and economic center.
-
D.
Tighina
Tighina is a historic city in present-day Moldova, also known as Bender, which has long held strategic importance on the Dniester River.
-
E.
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.
- 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_69d2cbe40d088190838819eac97c61e4 |
completed | April 5, 2026, 8:53 p.m. |
| NEDg | Description generation | batch_69d2cd8d611c81909085b3290eb54d16 |
completed | April 5, 2026, 9:01 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d2ce686da48190b32a2053b94f1d48 |
completed | April 5, 2026, 9:04 p.m. |
Created at: March 30, 2026, 9:01 p.m.