Triple
T2739312
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Province of Liège |
E60709
|
entity |
| Predicate | containsMunicipality |
P852
|
FINISHED |
| Object |
Sprimont
Sprimont is a municipality in eastern Belgium known for its location within the Province of Liège and its historical stone quarrying industry.
|
E295674
|
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: Sprimont | Statement: [Province of Liège, containsMunicipality, Sprimont]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sprimont Context triple: [Province of Liège, containsMunicipality, Sprimont]
-
A.
Grand Veymont
Grand Veymont is a prominent mountain peak in the French Prealps, known for its panoramic views and popular hiking routes within the Vercors region.
-
B.
Lambermont
Lambermont is the official residence of the Prime Minister of Belgium, located in Brussels.
-
C.
Stoumont
Stoumont is a rural municipality in the province of Liège in eastern Belgium, known for its Ardennes landscapes and World War II Battle of the Bulge history.
-
D.
Balfron
Balfron is a rural village in central Scotland known for its historic textile industry and scenic setting near the Campsie Fells.
-
E.
Saverne
Saverne is a historic town in northeastern France, known for its canal, rose gardens, and the Château des Rohan.
- 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: Sprimont Triple: [Province of Liège, containsMunicipality, Sprimont]
Generated description
Sprimont is a municipality in eastern Belgium known for its location within the Province of Liège and its historical stone quarrying industry.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sprimont Target entity description: Sprimont is a municipality in eastern Belgium known for its location within the Province of Liège and its historical stone quarrying industry.
-
A.
Grand Veymont
Grand Veymont is a prominent mountain peak in the French Prealps, known for its panoramic views and popular hiking routes within the Vercors region.
-
B.
Lambermont
Lambermont is the official residence of the Prime Minister of Belgium, located in Brussels.
-
C.
Stoumont
Stoumont is a rural municipality in the province of Liège in eastern Belgium, known for its Ardennes landscapes and World War II Battle of the Bulge history.
-
D.
Balfron
Balfron is a rural village in central Scotland known for its historic textile industry and scenic setting near the Campsie Fells.
-
E.
Saverne
Saverne is a historic town in northeastern France, known for its canal, rose gardens, and the Château des Rohan.
- 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_69ab4b77febc819095603eb012cd141b |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abdb2da94c8190bc9d23262e3dfc07 |
completed | March 7, 2026, 8 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afbbc607d88190bc35ce56ac26dbf9 |
completed | March 10, 2026, 6:35 a.m. |
| NEDg | Description generation | batch_69afbce109f48190be1a31d9300dbee6 |
completed | March 10, 2026, 6:40 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69afbda490ac8190bb12598e26b91677 |
completed | March 10, 2026, 6:43 a.m. |
Created at: March 6, 2026, 9:56 p.m.