Triple
T3840073
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Loire-Atlantique |
E93428
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object |
Pornic
Pornic is a coastal resort town and fishing port on the Atlantic Ocean in western France, known for its scenic harbor, beaches, and medieval castle.
|
E393199
|
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: Pornic | Statement: [Loire-Atlantique, containsCity, Pornic]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pornic Context triple: [Loire-Atlantique, containsCity, Pornic]
-
A.
Pitești
Pitești is a city in southern Romania, known as an important industrial and transportation hub and the capital of Argeș County.
-
B.
Ploiești
Ploiești is a major city in southern Romania historically known for its oil industry and strategic importance during World War II.
-
C.
Râmnicu Vâlcea
Râmnicu Vâlcea is a city in south-central Romania, located on the Olt River and serving as the capital of Vâlcea County.
-
D.
Ploiești, Romania
Ploiești is a major Romanian city in Prahova County, historically known for its oil industry and refineries that made it a key European petroleum center.
-
E.
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.
- 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: Pornic Triple: [Loire-Atlantique, containsCity, Pornic]
Generated description
Pornic is a coastal resort town and fishing port on the Atlantic Ocean in western France, known for its scenic harbor, beaches, and medieval castle.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Pornic Target entity description: Pornic is a coastal resort town and fishing port on the Atlantic Ocean in western France, known for its scenic harbor, beaches, and medieval castle.
-
A.
Pitești
Pitești is a city in southern Romania, known as an important industrial and transportation hub and the capital of Argeș County.
-
B.
Ploiești
Ploiești is a major city in southern Romania historically known for its oil industry and strategic importance during World War II.
-
C.
Râmnicu Vâlcea
Râmnicu Vâlcea is a city in south-central Romania, located on the Olt River and serving as the capital of Vâlcea County.
-
D.
Ploiești, Romania
Ploiești is a major Romanian city in Prahova County, historically known for its oil industry and refineries that made it a key European petroleum center.
-
E.
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.
- 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_69aed96ce578819084ab16e3439976c9 |
completed | March 9, 2026, 2:30 p.m. |
| NER | Named-entity recognition | batch_69aeeba1535c8190b36e2ab2d4514b54 |
completed | March 9, 2026, 3:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5040a8b808190874ad1a5152adf1f |
completed | March 14, 2026, 6:45 a.m. |
| NEDg | Description generation | batch_69b504b2ba748190af2df2a318ab0693 |
completed | March 14, 2026, 6:48 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b50534242c8190a1d4658e7896c2be |
completed | March 14, 2026, 6:50 a.m. |
Created at: March 9, 2026, 3:18 p.m.