Triple
T2739306
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Province of Liège |
E60709
|
entity |
| Predicate | containsMunicipality |
P852
|
FINISHED |
| Object |
Hannut
Hannut is a municipality in the French-speaking Walloon Region of Belgium, known for its rural character and location between Liège and Brussels.
|
E295670
|
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: Hannut | Statement: [Province of Liège, containsMunicipality, Hannut]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hannut Context triple: [Province of Liège, containsMunicipality, Hannut]
-
A.
Häyhä
Häyhä is the surname of Simo Häyhä, the legendary Finnish sniper renowned for his extraordinary marksmanship during the Winter War.
-
B.
Raukkan
Raukkan is a historic Aboriginal community in South Australia, significant as a cultural and spiritual center for the Ngarrindjeri people.
-
C.
Haselünne
Haselünne is a small historic town in Lower Saxony, Germany, known for its traditional grain distilleries and picturesque setting along the Hase River.
-
D.
Hase
The Hase is a river in northwestern Germany that flows through Lower Saxony and North Rhine-Westphalia, passing towns such as Quakenbrück before joining the Ems.
-
E.
Hanno
Hanno is a city in Saitama Prefecture, Japan, known for its natural scenery, hiking spots, and proximity to the Tokyo metropolitan area.
- 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: Hannut Triple: [Province of Liège, containsMunicipality, Hannut]
Generated description
Hannut is a municipality in the French-speaking Walloon Region of Belgium, known for its rural character and location between Liège and Brussels.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hannut Target entity description: Hannut is a municipality in the French-speaking Walloon Region of Belgium, known for its rural character and location between Liège and Brussels.
-
A.
Häyhä
Häyhä is the surname of Simo Häyhä, the legendary Finnish sniper renowned for his extraordinary marksmanship during the Winter War.
-
B.
Raukkan
Raukkan is a historic Aboriginal community in South Australia, significant as a cultural and spiritual center for the Ngarrindjeri people.
-
C.
Haselünne
Haselünne is a small historic town in Lower Saxony, Germany, known for its traditional grain distilleries and picturesque setting along the Hase River.
-
D.
Hase
The Hase is a river in northwestern Germany that flows through Lower Saxony and North Rhine-Westphalia, passing towns such as Quakenbrück before joining the Ems.
-
E.
Hanno
Hanno is a city in Saitama Prefecture, Japan, known for its natural scenery, hiking spots, and proximity to the Tokyo metropolitan area.
- 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.