Triple
T16036817
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | arrondissement of Péronne |
E388988
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Chaulnes
Chaulnes is a commune in the Somme department of northern France, known historically for its railway junction and its location in the Picardy region.
|
E1214756
|
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: Chaulnes | Statement: [arrondissement of Péronne, contains, Chaulnes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chaulnes Context triple: [arrondissement of Péronne, contains, Chaulnes]
-
A.
Leschaux
Leschaux is a small commune in the Haute-Savoie department of southeastern France, situated in the Alps near the Semnoz massif.
-
B.
Rothière
Rothière is a small commune in the Aube department of north-central France, situated within the Grand Est region.
-
C.
Chénas
Chénas is a French appellation in the Beaujolais wine region known for producing structured, age-worthy red wines primarily from the Gamay grape.
-
D.
Saussignac
Saussignac is a small wine-producing commune in southwestern France, known for its sweet white wines made primarily from Sémillon and other Bordeaux grape varieties.
-
E.
Targnon
Targnon is a small village in the municipality of Stoumont in the province of Liège, Belgium.
- 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: Chaulnes Triple: [arrondissement of Péronne, contains, Chaulnes]
Generated description
Chaulnes is a commune in the Somme department of northern France, known historically for its railway junction and its location in the Picardy region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Chaulnes Target entity description: Chaulnes is a commune in the Somme department of northern France, known historically for its railway junction and its location in the Picardy region.
-
A.
Leschaux
Leschaux is a small commune in the Haute-Savoie department of southeastern France, situated in the Alps near the Semnoz massif.
-
B.
Rothière
Rothière is a small commune in the Aube department of north-central France, situated within the Grand Est region.
-
C.
Chénas
Chénas is a French appellation in the Beaujolais wine region known for producing structured, age-worthy red wines primarily from the Gamay grape.
-
D.
Saussignac
Saussignac is a small wine-producing commune in southwestern France, known for its sweet white wines made primarily from Sémillon and other Bordeaux grape varieties.
-
E.
Targnon
Targnon is a small village in the municipality of Stoumont in the province of Liège, Belgium.
- 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_69d86dada3808190825d5f80d72fbe88 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1833ca66881909475fac23e6fbf86 |
completed | April 17, 2026, 12:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a004f39008c819095ad8512eb119ee8 |
completed | May 10, 2026, 9:26 a.m. |
| NEDg | Description generation | batch_6a0050a0f5b081908417c6062b1f50cc |
completed | May 10, 2026, 9:32 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00517b7b1c819098118fdbe03eb010 |
completed | May 10, 2026, 9:35 a.m. |
Created at: April 10, 2026, 4:56 a.m.