Triple
T3715026
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | de Lannoy |
E81506
|
entity |
| Predicate | etymologicallyContains |
P12512
|
FINISHED |
| Object |
Lannoy
Lannoy is a French surname and place name of noble origin, historically associated with aristocratic families in France and the Low Countries.
|
E346333
|
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: Lannoy | Statement: [de Lannoy, etymologicallyContains, Lannoy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lannoy Context triple: [de Lannoy, etymologicallyContains, Lannoy]
-
A.
Seneffe
Seneffe is a municipality in the province of Hainaut in Wallonia, Belgium, historically notable as the site of a major 17th-century battle during the Franco-Dutch War.
-
B.
d’Oultremont
d’Oultremont is a noble Belgian family name historically associated with aristocratic lineages in Belgium.
-
C.
Florennes
Florennes is a municipality in the Wallonia region of Belgium, known for hosting a major military air base and its surrounding rural landscape.
-
D.
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.
-
E.
Sprimont
Sprimont is a municipality in eastern Belgium known for its location within the Province of Liège and its historical stone quarrying industry.
- 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: Lannoy Triple: [de Lannoy, etymologicallyContains, Lannoy]
Generated description
Lannoy is a French surname and place name of noble origin, historically associated with aristocratic families in France and the Low Countries.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lannoy Target entity description: Lannoy is a French surname and place name of noble origin, historically associated with aristocratic families in France and the Low Countries.
-
A.
Seneffe
Seneffe is a municipality in the province of Hainaut in Wallonia, Belgium, historically notable as the site of a major 17th-century battle during the Franco-Dutch War.
-
B.
d’Oultremont
chosen
d’Oultremont is a noble Belgian family name historically associated with aristocratic lineages in Belgium.
-
C.
Florennes
Florennes is a municipality in the Wallonia region of Belgium, known for hosting a major military air base and its surrounding rural landscape.
-
D.
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.
-
E.
Sprimont
Sprimont is a municipality in eastern Belgium known for its location within the Province of Liège and its historical stone quarrying industry.
- F. None of above.
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_69ad8b1a81588190b3f27a5483bb610e |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adc9ce253c8190ada8eaa395fd3d5c |
completed | March 8, 2026, 7:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4ce0f690c819091d9caf9271f9bbd |
completed | March 14, 2026, 2:55 a.m. |
| NEDg | Description generation | batch_69b4cf6a84fc8190b07fbc31621bd871 |
completed | March 14, 2026, 3 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b4d32caa7c81908332ac23bd4d9571 |
completed | March 14, 2026, 3:17 a.m. |
Created at: March 8, 2026, 3:33 p.m.