Triple
T16469923
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Canton of Moreuil |
E400032
|
entity |
| Predicate | containsCommune |
P15149
|
FINISHED |
| Object |
Hargicourt
Hargicourt is a small French commune located in the Somme department in northern France.
|
E1216546
|
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: Hargicourt | Statement: [Canton of Moreuil, containsCommune, Hargicourt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hargicourt Context triple: [Canton of Moreuil, containsCommune, Hargicourt]
-
A.
Juvancourt
Juvancourt is a small commune in the Aube department in north-central France.
-
B.
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.
-
C.
Fouquescourt
Fouquescourt is a small rural commune in northern France’s Somme department, characterized by its agricultural landscape and traditional Picard village setting.
-
D.
Berlencourt
Berlencourt is a small commune in northern France, located within the Nord department in the Hauts-de-France region.
-
E.
Breteuil
Breteuil is a commune in northern France that serves as a local administrative and service hub for its surrounding rural area.
- 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: Hargicourt Triple: [Canton of Moreuil, containsCommune, Hargicourt]
Generated description
Hargicourt is a small French commune located in the Somme department in northern France.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hargicourt Target entity description: Hargicourt is a small French commune located in the Somme department in northern France.
-
A.
Juvancourt
Juvancourt is a small commune in the Aube department in north-central France.
-
B.
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.
-
C.
Fouquescourt
chosen
Fouquescourt is a small rural commune in northern France’s Somme department, characterized by its agricultural landscape and traditional Picard village setting.
-
D.
Berlencourt
Berlencourt is a small commune in northern France, located within the Nord department in the Hauts-de-France region.
-
E.
Breteuil
Breteuil is a commune in northern France that serves as a local administrative and service hub for its surrounding rural area.
- F. None of above.
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_69d87f2dac988190b74d6e185fa88ba4 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e32dcfed6c8190b8dbe4b65b0ab817 |
completed | April 18, 2026, 7:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a006078da4c8190ba510d92b503e993 |
completed | May 10, 2026, 10:39 a.m. |
| NEDg | Description generation | batch_6a0061a6e1e88190a5efe0430db0bd9b |
completed | May 10, 2026, 10:44 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00627908988190803707069872e4c5 |
completed | May 10, 2026, 10:48 a.m. |
Created at: April 10, 2026, 5:11 a.m.