Triple
T17248915
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | arrondissement of Douai |
E418697
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Pecquencourt
Pecquencourt is a commune in northern France’s Nord department, known historically for its coal mining heritage within the Hauts-de-France region.
|
E1258650
|
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: Pecquencourt | Statement: [arrondissement of Douai, contains, Pecquencourt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pecquencourt Context triple: [arrondissement of Douai, contains, Pecquencourt]
-
A.
Maurecourt
Maurecourt is a small suburban commune in the Yvelines department of north-central France, located in the western outskirts of the Paris metropolitan area.
-
B.
Morlaincourt
Morlaincourt is a small commune in northeastern France, likely known locally for its rural character and proximity to the Yonne river’s headwaters.
-
C.
Rachecourt
Rachecourt is a village in the municipality of Aubange in the province of Luxembourg, Belgium.
-
D.
Juvancourt
Juvancourt is a small commune in the Aube department in north-central France.
-
E.
Blignicourt
Blignicourt is a small commune in the Aube department of north-central France.
- 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: Pecquencourt Triple: [arrondissement of Douai, contains, Pecquencourt]
Generated description
Pecquencourt is a commune in northern France’s Nord department, known historically for its coal mining heritage within the Hauts-de-France region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Pecquencourt Target entity description: Pecquencourt is a commune in northern France’s Nord department, known historically for its coal mining heritage within the Hauts-de-France region.
-
A.
Maurecourt
Maurecourt is a small suburban commune in the Yvelines department of north-central France, located in the western outskirts of the Paris metropolitan area.
-
B.
Morlaincourt
Morlaincourt is a small commune in northeastern France, likely known locally for its rural character and proximity to the Yonne river’s headwaters.
-
C.
Rachecourt
Rachecourt is a village in the municipality of Aubange in the province of Luxembourg, Belgium.
-
D.
Juvancourt
Juvancourt is a small commune in the Aube department in north-central France.
-
E.
Blignicourt
Blignicourt is a small commune in the Aube department of north-central France.
- 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_69d886d9ab108190b70edd8d17aa1204 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42e2636f48190b29548ff80402bef |
completed | April 19, 2026, 1:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0170f96e548190be92846e072118f9 |
completed | May 11, 2026, 6:02 a.m. |
| NEDg | Description generation | batch_6a01717495208190b415219d15e71fb7 |
completed | May 11, 2026, 6:04 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a01721f5b9081909a8bc817ba0a5986 |
completed | May 11, 2026, 6:07 a.m. |
Created at: April 10, 2026, 5:39 a.m.