Triple
T13662860
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kayl |
E327042
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object |
Tétange
Tétange is a town in southwestern Luxembourg that forms part of the commune of Kayl in the canton of Esch-sur-Alzette.
|
E1081785
|
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: Tétange | Statement: [Kayl, containsSettlement, Tétange]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tétange Context triple: [Kayl, containsSettlement, Tétange]
-
A.
Rodange
Rodange is a town in southwestern Luxembourg known as an important railway junction near the Belgian and French borders.
-
B.
Sarreguemines
Sarreguemines is a town in northeastern France near the German border, historically known for its ceramics and faience production.
-
C.
Darnétal
Darnétal is a commune in the Normandy region of northern France, situated just east of the city of Rouen.
-
D.
Forbach
Forbach is a town in northeastern France near the German border, known historically for its coal mining industry and cross-border cultural ties.
-
E.
Bertrange
Bertrange is a commune in northeastern France located in the Moselle department within the Grand Est region.
- 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: Tétange Triple: [Kayl, containsSettlement, Tétange]
Generated description
Tétange is a town in southwestern Luxembourg that forms part of the commune of Kayl in the canton of Esch-sur-Alzette.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tétange Target entity description: Tétange is a town in southwestern Luxembourg that forms part of the commune of Kayl in the canton of Esch-sur-Alzette.
-
A.
Rodange
Rodange is a town in southwestern Luxembourg known as an important railway junction near the Belgian and French borders.
-
B.
Sarreguemines
Sarreguemines is a town in northeastern France near the German border, historically known for its ceramics and faience production.
-
C.
Darnétal
Darnétal is a commune in the Normandy region of northern France, situated just east of the city of Rouen.
-
D.
Forbach
Forbach is a town in northeastern France near the German border, known historically for its coal mining industry and cross-border cultural ties.
-
E.
Bertrange
Bertrange is a commune in northeastern France located in the Moselle department within the Grand Est region.
- 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_69d8076d8270819092afc2f0e9c359a8 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc622a07c81909ef7fb55e719dd9a |
completed | April 12, 2026, 4:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcdeed4548819082038c5b88ccd212 |
completed | May 7, 2026, 6:50 p.m. |
| NEDg | Description generation | batch_69fcdfd372e0819089f0b48f84a63ab4 |
completed | May 7, 2026, 6:54 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fce027c628819085738433b5d5525d |
completed | May 7, 2026, 6:55 p.m. |
Created at: April 9, 2026, 9:52 p.m.