Triple
T15308617
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Le Havre urban area |
E365969
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Heuqueville
Heuqueville is a small French commune located in the Normandy region, forming part of the greater Le Havre metropolitan area.
|
E1156554
|
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: Heuqueville | Statement: [Le Havre urban area, hasPart, Heuqueville]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Heuqueville Context triple: [Le Havre urban area, hasPart, Heuqueville]
-
A.
Sandouville
Sandouville is a French commune in the Normandy region, known for its industrial activity and proximity to the port city of Le Havre.
-
B.
Foucarville
Foucarville is a small commune in the Manche department of northwestern France, situated in the Normandy region.
-
C.
Cabourg
Cabourg is a seaside resort town in northwestern France, known for its Belle Époque architecture, sandy beaches, and association with writer Marcel Proust.
-
D.
Wimereux
Wimereux is a seaside resort town on France’s northern Opal Coast, known for its sandy beaches, Belle Époque villas, and coastal promenades.
-
E.
Vierville-sur-Mer
Vierville-sur-Mer is a coastal commune in Normandy, France, historically significant as one of the key landing areas during the D-Day invasion of World War II.
- 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: Heuqueville Triple: [Le Havre urban area, hasPart, Heuqueville]
Generated description
Heuqueville is a small French commune located in the Normandy region, forming part of the greater Le Havre metropolitan area.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Heuqueville Target entity description: Heuqueville is a small French commune located in the Normandy region, forming part of the greater Le Havre metropolitan area.
-
A.
Sandouville
Sandouville is a French commune in the Normandy region, known for its industrial activity and proximity to the port city of Le Havre.
-
B.
Foucarville
Foucarville is a small commune in the Manche department of northwestern France, situated in the Normandy region.
-
C.
Cabourg
Cabourg is a seaside resort town in northwestern France, known for its Belle Époque architecture, sandy beaches, and association with writer Marcel Proust.
-
D.
Wimereux
Wimereux is a seaside resort town on France’s northern Opal Coast, known for its sandy beaches, Belle Époque villas, and coastal promenades.
-
E.
Vierville-sur-Mer
Vierville-sur-Mer is a coastal commune in Normandy, France, historically significant as one of the key landing areas during the D-Day invasion of World War II.
- 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_69d85a113ee881908e297a1d38dd79fa |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03cd001b48190bbdd69337efdb907 |
completed | April 16, 2026, 1:35 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff1a6582908190a9a56652e9ccc5a1 |
completed | May 9, 2026, 11:28 a.m. |
| NEDg | Description generation | batch_69ff1c35ce008190bfe9b9e255cd7bcd |
completed | May 9, 2026, 11:36 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff1cd529fc8190836f3b53e5979081 |
completed | May 9, 2026, 11:39 a.m. |
Created at: April 10, 2026, 3:16 a.m.