Triple
T11808692
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aubange |
E280813
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Athus
Athus is a town in southern Belgium’s Walloon region, known as a former steelmaking center and now part of the municipality of Aubange near the Luxembourg and French borders.
|
E947409
|
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: Athus | Statement: [Aubange, contains, Athus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Athus Context triple: [Aubange, contains, Athus]
-
A.
Ahtena
Ahtena is an Athabaskan-speaking Indigenous people of south-central Alaska, traditionally living around the Copper River basin.
-
B.
Ataroth
Ataroth is an ancient Moabite town known from biblical texts and the Mesha Stele, associated with conflicts between Israel and Moab.
-
C.
Martos
Martos is a historic town in southern Spain’s Andalusia region, known for its olive oil production and hilltop setting dominated by a medieval castle.
-
D.
Aulnat
Aulnat is a commune in central France situated in the Puy-de-Dôme department within the Auvergne region.
-
E.
Radaur
Radaur is a town in the Yamunanagar district of Haryana, India, known primarily as a local commercial and educational center for surrounding rural areas.
- 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: Athus Triple: [Aubange, contains, Athus]
Generated description
Athus is a town in southern Belgium’s Walloon region, known as a former steelmaking center and now part of the municipality of Aubange near the Luxembourg and French borders.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Athus Target entity description: Athus is a town in southern Belgium’s Walloon region, known as a former steelmaking center and now part of the municipality of Aubange near the Luxembourg and French borders.
-
A.
Ahtena
Ahtena is an Athabaskan-speaking Indigenous people of south-central Alaska, traditionally living around the Copper River basin.
-
B.
Ataroth
Ataroth is an ancient Moabite town known from biblical texts and the Mesha Stele, associated with conflicts between Israel and Moab.
-
C.
Martos
Martos is a historic town in southern Spain’s Andalusia region, known for its olive oil production and hilltop setting dominated by a medieval castle.
-
D.
Aulnat
Aulnat is a commune in central France situated in the Puy-de-Dôme department within the Auvergne region.
-
E.
Radaur
Radaur is a town in the Yamunanagar district of Haryana, India, known primarily as a local commercial and educational center for surrounding rural areas.
- 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_69d6ab26aae88190b2489efcb2a24234 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a5c93a1881909b428bf3ed55bb57 |
completed | April 10, 2026, 7:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f131726ab08190ae777bee3ac6df43 |
completed | April 28, 2026, 10:15 p.m. |
| NEDg | Description generation | batch_69f141b1c50c819081a8055d951a49de |
completed | April 28, 2026, 11:24 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f14fcb63208190ad1185ad66314fa9 |
completed | April 29, 2026, 12:24 a.m. |
Created at: April 8, 2026, 9:42 p.m.