Triple
T15403906
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aisne |
E368397
|
entity |
| Predicate | passesThrough |
P225
|
FINISHED |
| Object |
Château-Porcien
Château-Porcien is a small commune in the Ardennes department of northern France, situated along the Aisne River.
|
E1155313
|
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: Château-Porcien | Statement: [Aisne, passesThrough, Château-Porcien]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Château-Porcien Context triple: [Aisne, passesThrough, Château-Porcien]
-
A.
Château-Neuf
Château-Neuf is a historic fortress in Bayonne, France, that once formed part of the city’s defensive stronghold along the Adour River.
-
B.
Château-Gontier
Château-Gontier is a historic town in western France, known for its medieval architecture and picturesque setting along the Mayenne River.
-
C.
Château-Vieux
Château-Vieux is a historic medieval fortress in Bayonne, France, notable for its long military and architectural heritage.
-
D.
Castelroussin
Castelroussin is the French demonym for an inhabitant of the city of Châteauroux in central France.
-
E.
Château-Lambert
Château-Lambert is a small village in eastern France known for its picturesque Vosges mountain setting and open-air museum showcasing traditional rural life and forestry.
- 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: Château-Porcien Triple: [Aisne, passesThrough, Château-Porcien]
Generated description
Château-Porcien is a small commune in the Ardennes department of northern France, situated along the Aisne River.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Château-Porcien Target entity description: Château-Porcien is a small commune in the Ardennes department of northern France, situated along the Aisne River.
-
A.
Château-Neuf
Château-Neuf is a historic fortress in Bayonne, France, that once formed part of the city’s defensive stronghold along the Adour River.
-
B.
Château-Gontier
Château-Gontier is a historic town in western France, known for its medieval architecture and picturesque setting along the Mayenne River.
-
C.
Château-Vieux
Château-Vieux is a historic medieval fortress in Bayonne, France, notable for its long military and architectural heritage.
-
D.
Castelroussin
Castelroussin is the French demonym for an inhabitant of the city of Châteauroux in central France.
-
E.
Château-Lambert
Château-Lambert is a small village in eastern France known for its picturesque Vosges mountain setting and open-air museum showcasing traditional rural life and forestry.
- 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_69d85a16c68c819099c1b547fbc87b32 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e8fde64819082ec0c68df305561 |
completed | April 16, 2026, 1:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff13584f8881908b2527c51f85ae28 |
completed | May 9, 2026, 10:58 a.m. |
| NEDg | Description generation | batch_69ff145ac8e081908b075cee67e82aa3 |
completed | May 9, 2026, 11:02 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff1509e5a48190b69f1a44d793e07d |
completed | May 9, 2026, 11:05 a.m. |
Created at: April 10, 2026, 3:19 a.m.