Triple
T12535971
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beccles |
E299689
|
entity |
| Predicate | hasTwinTown |
P919
|
FINISHED |
| Object |
Petit-Couronne
Petit-Couronne is a commune in the Seine-Maritime department of northern France, located near Rouen in the Normandy region.
|
E1022224
|
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: Petit-Couronne | Statement: [Beccles, hasTwinTown, Petit-Couronne]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Petit-Couronne Context triple: [Beccles, hasTwinTown, Petit-Couronne]
-
A.
Remigny
Remigny is a small wine-producing village in the Burgundy region of eastern France, situated near the renowned appellation of Santenay.
-
B.
Pommereuil
Pommereuil is a small commune in the Nord department of northern France.
-
C.
Ermontoise
Ermontoise is the French demonym referring to a female inhabitant or native of the town of Ermont in France.
-
D.
Boussy-Saint-Antoine
Boussy-Saint-Antoine is a suburban commune in the Essonne department in the Île-de-France region of northern France.
-
E.
Calvé
Calvé is a well-known food brand, particularly recognized for its peanut butter and sauces, that forms part of Unilever’s global brand portfolio.
- 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: Petit-Couronne Triple: [Beccles, hasTwinTown, Petit-Couronne]
Generated description
Petit-Couronne is a commune in the Seine-Maritime department of northern France, located near Rouen in the Normandy region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Petit-Couronne Target entity description: Petit-Couronne is a commune in the Seine-Maritime department of northern France, located near Rouen in the Normandy region.
-
A.
Remigny
Remigny is a small wine-producing village in the Burgundy region of eastern France, situated near the renowned appellation of Santenay.
-
B.
Pommereuil
Pommereuil is a small commune in the Nord department of northern France.
-
C.
Ermontoise
Ermontoise is the French demonym referring to a female inhabitant or native of the town of Ermont in France.
-
D.
Boussy-Saint-Antoine
Boussy-Saint-Antoine is a suburban commune in the Essonne department in the Île-de-France region of northern France.
-
E.
Calvé
Calvé is a well-known food brand, particularly recognized for its peanut butter and sauces, that forms part of Unilever’s global brand portfolio.
- 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_69d6ada707008190aaec1238117c9379 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d9546d3b2081908d3e0659f8f13678 |
completed | April 10, 2026, 7:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6e2588b448190b5dc5a5d37fd1897 |
completed | May 3, 2026, 5:51 a.m. |
| NEDg | Description generation | batch_69f6e3fc6524819081fec59d7e31c816 |
completed | May 3, 2026, 5:58 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6e47b052c8190a6f6ca5a6bd210f5 |
completed | May 3, 2026, 6 a.m. |
Created at: April 8, 2026, 9:57 p.m.