Triple
T7091482
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arrondissement of Caen |
E165203
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Buron
Buron is a small village in northwestern France, historically notable for fighting during the Battle of Normandy in World War II.
|
E640650
|
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: Buron | Statement: [Arrondissement of Caen, contains, Buron]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Buron Context triple: [Arrondissement of Caen, contains, Buron]
-
A.
Bori
Bori is a prominent urban center in Nigeria’s Rivers State, serving as an important commercial and administrative hub for the surrounding region.
-
B.
Burlata
Burlata is a small municipality in the autonomous community of Navarre in northern Spain, situated just east of the regional capital Pamplona.
-
C.
Bogar
Bogar is a revered Tamil Siddhar, alchemist, and mystic traditionally credited with esoteric yogic practices, medicinal formulations, and the crafting of sacred idols in South Indian spiritual lore.
-
D.
Buzenval
Buzenval is a Paris Métro station in the 20th arrondissement, serving Line 9 near the Porte de Montreuil area.
-
E.
Horki
Horki is a town in eastern Belarus known for its agricultural academy and regional administrative significance.
- 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: Buron Triple: [Arrondissement of Caen, contains, Buron]
Generated description
Buron is a small village in northwestern France, historically notable for fighting during the Battle of Normandy in World War II.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Buron Target entity description: Buron is a small village in northwestern France, historically notable for fighting during the Battle of Normandy in World War II.
-
A.
Bori
Bori is a prominent urban center in Nigeria’s Rivers State, serving as an important commercial and administrative hub for the surrounding region.
-
B.
Burlata
Burlata is a small municipality in the autonomous community of Navarre in northern Spain, situated just east of the regional capital Pamplona.
-
C.
Bogar
Bogar is a revered Tamil Siddhar, alchemist, and mystic traditionally credited with esoteric yogic practices, medicinal formulations, and the crafting of sacred idols in South Indian spiritual lore.
-
D.
Buzenval
Buzenval is a Paris Métro station in the 20th arrondissement, serving Line 9 near the Porte de Montreuil area.
-
E.
Horki
Horki is a town in eastern Belarus known for its agricultural academy and regional administrative significance.
- 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_69c6887e8c10819091cee237560d32da |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e53132288190b6da361d9c7218ab |
completed | March 27, 2026, 8:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7948cb3d48190993134d709924e3d |
completed | March 28, 2026, 8:42 a.m. |
| NEDg | Description generation | batch_69c7962ec0bc8190a9223ebb245d0914 |
completed | March 28, 2026, 8:49 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c79709ed808190a9f09f5350ba2ffd |
completed | March 28, 2026, 8:53 a.m. |
Created at: March 27, 2026, 2:41 p.m.