Triple
T9218414
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Luxembourg Province |
E221297
|
entity |
| Predicate | containsTown |
P847
|
FINISHED |
| Object |
Nassogne
Nassogne is a rural municipality and village in the Ardennes region of Belgium’s Luxembourg Province, known for its forests and traditional countryside.
|
E814654
|
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: Nassogne | Statement: [Luxembourg Province, containsTown, Nassogne]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nassogne Context triple: [Luxembourg Province, containsTown, Nassogne]
-
A.
Randogne
Randogne is a former Swiss municipality in the canton of Valais that later became part of the resort area of Crans-Montana.
-
B.
Nançon River
The Nançon River is a small watercourse in northwestern France that flows through the historic town of Fougères in the Ille-et-Vilaine department of Brittany.
-
C.
Sauldre
Sauldre is a river in central France that flows through the Cher department and is a tributary of the larger Sauldre river system.
-
D.
Riorges
Riorges is a commune in central France, near Roanne in the Loire department, known for its residential character and local cultural life.
-
E.
Ouvèze River
The Ouvèze River is a river in southeastern France that flows through the Drôme and Vaucluse departments before joining the Rhône.
- 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: Nassogne Triple: [Luxembourg Province, containsTown, Nassogne]
Generated description
Nassogne is a rural municipality and village in the Ardennes region of Belgium’s Luxembourg Province, known for its forests and traditional countryside.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nassogne Target entity description: Nassogne is a rural municipality and village in the Ardennes region of Belgium’s Luxembourg Province, known for its forests and traditional countryside.
-
A.
Randogne
Randogne is a former Swiss municipality in the canton of Valais that later became part of the resort area of Crans-Montana.
-
B.
Nançon River
The Nançon River is a small watercourse in northwestern France that flows through the historic town of Fougères in the Ille-et-Vilaine department of Brittany.
-
C.
Sauldre
Sauldre is a river in central France that flows through the Cher department and is a tributary of the larger Sauldre river system.
-
D.
Riorges
Riorges is a commune in central France, near Roanne in the Loire department, known for its residential character and local cultural life.
-
E.
Ouvèze River
The Ouvèze River is a river in southeastern France that flows through the Drôme and Vaucluse departments before joining the Rhône.
- 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_69ca83eae42c8190a0ea9e040710a277 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccda730f688190b64b2cc8c4898ac3 |
completed | April 1, 2026, 8:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d190bef8548190a058e6014ff6690c |
completed | April 4, 2026, 10:29 p.m. |
| NEDg | Description generation | batch_69d19327f0b481908be85bcb0deccb46 |
completed | April 4, 2026, 10:39 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d193fac390819092dd913dc78e2841 |
completed | April 4, 2026, 10:43 p.m. |
Created at: March 30, 2026, 7:27 p.m.