Triple
T20821363
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Satu Mare County |
E512579
|
entity |
| Predicate | hasTown |
P847
|
FINISHED |
| Object |
Livada
Livada is a small town in northwestern Romania known for its agricultural surroundings and role as a local service center within Satu Mare County.
|
E1452252
|
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: Livada | Statement: [Satu Mare County, hasTown, Livada]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Livada Context triple: [Satu Mare County, hasTown, Livada]
-
A.
Livadakia
Livadakia is a popular sandy beach on the Greek island of Serifos, known for its clear waters and relaxed atmosphere.
-
B.
Kalamoti
Kalamoti is a traditional medieval village on the Greek island of Chios, known for its distinctive stone architecture and production of mastic.
-
C.
Lavreotiki
Lavreotiki is a municipality in East Attica, Greece, known for its historic mining town of Lavrio and its ancient silver mines that were crucial to classical Athens.
-
D.
Livadi
Livadi is a small settlement located within the Municipality of Parga in northwestern Greece.
-
E.
Livadi
Livadi is a coastal village and popular seaside resort on the Greek island of Astypalaia, known for its beach, tavernas, and views of the island’s main town and castle.
- 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: Livada Triple: [Satu Mare County, hasTown, Livada]
Generated description
Livada is a small town in northwestern Romania known for its agricultural surroundings and role as a local service center within Satu Mare County.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Livada Target entity description: Livada is a small town in northwestern Romania known for its agricultural surroundings and role as a local service center within Satu Mare County.
-
A.
Livadakia
Livadakia is a popular sandy beach on the Greek island of Serifos, known for its clear waters and relaxed atmosphere.
-
B.
Kalamoti
Kalamoti is a traditional medieval village on the Greek island of Chios, known for its distinctive stone architecture and production of mastic.
-
C.
Lavreotiki
Lavreotiki is a municipality in East Attica, Greece, known for its historic mining town of Lavrio and its ancient silver mines that were crucial to classical Athens.
-
D.
Livadi
Livadi is a small settlement located within the Municipality of Parga in northwestern Greece.
-
E.
Livadi
Livadi is a coastal village and popular seaside resort on the Greek island of Astypalaia, known for its beach, tavernas, and views of the island’s main town and castle.
- 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_69e0b4ce39108190a6e8e5df4f1c8dc5 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c2f7a1548190b6ef3f1cfad37c1c |
completed | April 21, 2026, 12:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a090079c5688190a9ba9f6e8f69c64e |
completed | May 16, 2026, 11:40 p.m. |
| NEDg | Description generation | batch_6a090146ab948190a6c76f5c978b5268 |
completed | May 16, 2026, 11:44 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0902070ca081908e75dddcda808eea |
completed | May 16, 2026, 11:47 p.m. |
Created at: April 16, 2026, 12:41 p.m.