Triple
T10953509
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | canton of Brienne-le-Château |
E258782
|
entity |
| Predicate | containsAdministrativeTerritorialEntity |
P747
|
FINISHED |
| Object |
Balignicourt
Balignicourt is a small commune in the Aube department of north-central France.
|
E897770
|
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: Balignicourt | Statement: [canton of Brienne-le-Château, containsAdministrativeTerritorialEntity, Balignicourt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Balignicourt Context triple: [canton of Brienne-le-Château, containsAdministrativeTerritorialEntity, Balignicourt]
-
A.
Berlencourt
Berlencourt is a small commune in northern France, located within the Nord department in the Hauts-de-France region.
-
B.
Weiler-la-Tour
Weiler-la-Tour is a small commune and village in southeastern Luxembourg, known for its rural character and proximity to the capital city, Luxembourg City.
-
C.
Beaunoir
Beaunoir is a rare white wine grape variety, historically cultivated in parts of Europe and known primarily through its role in old viticultural lineages.
-
D.
Breteuil
Breteuil is a commune in northern France that serves as a local administrative and service hub for its surrounding rural area.
-
E.
Chaudfontaine
Chaudfontaine is a Belgian municipality in the Walloon region, noted for its mineral water springs and proximity to the city of Liège.
- 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: Balignicourt Triple: [canton of Brienne-le-Château, containsAdministrativeTerritorialEntity, Balignicourt]
Generated description
Balignicourt is a small commune in the Aube department of north-central France.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Balignicourt Target entity description: Balignicourt is a small commune in the Aube department of north-central France.
-
A.
Berlencourt
Berlencourt is a small commune in northern France, located within the Nord department in the Hauts-de-France region.
-
B.
Weiler-la-Tour
Weiler-la-Tour is a small commune and village in southeastern Luxembourg, known for its rural character and proximity to the capital city, Luxembourg City.
-
C.
Beaunoir
Beaunoir is a rare white wine grape variety, historically cultivated in parts of Europe and known primarily through its role in old viticultural lineages.
-
D.
Breteuil
Breteuil is a commune in northern France that serves as a local administrative and service hub for its surrounding rural area.
-
E.
Chaudfontaine
Chaudfontaine is a Belgian municipality in the Walloon region, noted for its mineral water springs and proximity to the city of Liège.
- 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_69d6aa88500c819097d7032ca578e74f |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d770fe4cfc81909032296c31e077f0 |
completed | April 9, 2026, 9:27 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e3447d8cc88190a3e28f204a93a7d3 |
completed | April 18, 2026, 8:44 a.m. |
| NEDg | Description generation | batch_69e3556ad7ec819095b3babc67ecdfd4 |
completed | April 18, 2026, 9:56 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e358f860f08190bfd10519ff3806aa |
completed | April 18, 2026, 10:12 a.m. |
Created at: April 8, 2026, 9:23 p.m.