Triple
T10773091
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Récoltes et Semailles |
E254129
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Semailles
Semailles is a section of Alexandre Grothendieck’s autobiographical and philosophical manuscript "Récoltes et Semailles," reflecting his personal reflections on mathematics, life, and the mathematical community.
|
E886196
|
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: Semailles | Statement: [Récoltes et Semailles, hasPart, Semailles]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Semailles Context triple: [Récoltes et Semailles, hasPart, Semailles]
-
A.
Mouriès
Mouriès is a village in southern France’s Provence region, known for its olive oil production and location near the Alpilles hills.
-
B.
Vallon
Vallon is a small municipality in the canton of Fribourg in western Switzerland.
-
C.
Peseux
Peseux is a former municipality in the canton of Neuchâtel in western Switzerland, now part of the city of Neuchâtel.
-
D.
Corcelette
Corcelette is a renowned vineyard site in the Morgon appellation of Beaujolais, known for producing structured, age-worthy Gamay wines.
-
E.
Cernières
Cernières is a small locality situated within the canton of Breteuil in northern France.
- 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: Semailles Triple: [Récoltes et Semailles, hasPart, Semailles]
Generated description
Semailles is a section of Alexandre Grothendieck’s autobiographical and philosophical manuscript "Récoltes et Semailles," reflecting his personal reflections on mathematics, life, and the mathematical community.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Semailles Target entity description: Semailles is a section of Alexandre Grothendieck’s autobiographical and philosophical manuscript "Récoltes et Semailles," reflecting his personal reflections on mathematics, life, and the mathematical community.
-
A.
Mouriès
Mouriès is a village in southern France’s Provence region, known for its olive oil production and location near the Alpilles hills.
-
B.
Vallon
Vallon is a small municipality in the canton of Fribourg in western Switzerland.
-
C.
Peseux
Peseux is a former municipality in the canton of Neuchâtel in western Switzerland, now part of the city of Neuchâtel.
-
D.
Corcelette
Corcelette is a renowned vineyard site in the Morgon appellation of Beaujolais, known for producing structured, age-worthy Gamay wines.
-
E.
Cernières
Cernières is a small locality situated within the canton of Breteuil in northern France.
- 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_69d6aa5f54f4819082d0bbcb6f8797e6 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d7329b27748190bd0e2569c7972fd1 |
completed | April 9, 2026, 5:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69de55daf52c8190aee3bca39cdc5d55 |
completed | April 14, 2026, 2:57 p.m. |
| NEDg | Description generation | batch_69de5eacae148190b7ca2da87427572e |
completed | April 14, 2026, 3:35 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69de6397ff688190b6788489895a5360 |
completed | April 14, 2026, 3:56 p.m. |
Created at: April 8, 2026, 9:16 p.m.