Triple
T20689093
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Belgian railway line 57 |
E508500
|
entity |
| Predicate | connects |
P390
|
FINISHED |
| Object |
Assenede
Assenede is a municipality in the East Flanders province of Belgium, near the Dutch border, known for its rural landscape and historical polders.
|
E1445819
|
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: Assenede | Statement: [Belgian railway line 57, connects, Assenede]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Assenede Context triple: [Belgian railway line 57, connects, Assenede]
-
A.
Taradeau
Taradeau is a small commune in the Var department of southeastern France, known for its Provençal countryside, vineyards, and proximity to the Massif des Maures.
-
B.
Tatihou
Tatihou is a small French island off the coast of Normandy known for its historic Vauban fortifications, maritime museum, and rich coastal birdlife.
-
C.
Dehéries
Dehéries is a small commune in the Nord department of northern France.
-
D.
Aubenas
Aubenas is a historic market town in southern France known for its medieval castle and role as a commercial center of the Ardèche region.
-
E.
Aspelt
Aspelt is a small village in southern Luxembourg known for its historic church and castle remains.
- 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: Assenede Triple: [Belgian railway line 57, connects, Assenede]
Generated description
Assenede is a municipality in the East Flanders province of Belgium, near the Dutch border, known for its rural landscape and historical polders.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Assenede Target entity description: Assenede is a municipality in the East Flanders province of Belgium, near the Dutch border, known for its rural landscape and historical polders.
-
A.
Taradeau
Taradeau is a small commune in the Var department of southeastern France, known for its Provençal countryside, vineyards, and proximity to the Massif des Maures.
-
B.
Tatihou
Tatihou is a small French island off the coast of Normandy known for its historic Vauban fortifications, maritime museum, and rich coastal birdlife.
-
C.
Dehéries
Dehéries is a small commune in the Nord department of northern France.
-
D.
Aubenas
Aubenas is a historic market town in southern France known for its medieval castle and role as a commercial center of the Ardèche region.
-
E.
Aspelt
Aspelt is a small village in southern Luxembourg known for its historic church and castle remains.
- 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_69e0b4c1ed408190b72dd26b1e33f8a1 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6c10b7b808190bdb8b08e53168fb8 |
completed | April 21, 2026, 12:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08d7e226808190bf05b85afb173e36 |
completed | May 16, 2026, 8:47 p.m. |
| NEDg | Description generation | batch_6a08d9ca43288190a2be3d4f63141391 |
completed | May 16, 2026, 8:55 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08da457ee48190ba18b3e34f117e19 |
completed | May 16, 2026, 8:57 p.m. |
Created at: April 16, 2026, 11:56 a.m.