Triple
T15301349
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Palais de Justice de Lyon |
E365795
|
entity |
| Predicate | architect |
P184
|
FINISHED |
| Object |
Roget
Roget was an architect known for designing the Palais de Justice in Lyon, France.
|
E1149247
|
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: Roget | Statement: [Palais de Justice de Lyon, architect, Roget]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Roget Context triple: [Palais de Justice de Lyon, architect, Roget]
-
A.
Webster
Webster is a common English surname most famously associated with American lexicographer Noah Webster, whose name is linked to influential early American dictionaries.
-
B.
Gleadle
Gleadle is an English surname of likely Anglo-Saxon origin, borne by various individuals and families in the United Kingdom.
-
C.
Lesk
Lesk is a smaller river or stream in Poland that serves as a tributary of the Bóbr River.
-
D.
Ei Thesaurus
Ei Thesaurus is a controlled vocabulary and indexing tool used to standardize subject terms for engineering and technical literature in the Ei Compendex database.
-
E.
OED
OED is the acronym commonly used for the Oregon Employment Department, the state agency responsible for administering unemployment insurance and workforce services in Oregon.
- 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: Roget Triple: [Palais de Justice de Lyon, architect, Roget]
Generated description
Roget was an architect known for designing the Palais de Justice in Lyon, France.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Roget Target entity description: Roget was an architect known for designing the Palais de Justice in Lyon, France.
-
A.
Webster
Webster is a common English surname most famously associated with American lexicographer Noah Webster, whose name is linked to influential early American dictionaries.
-
B.
Gleadle
Gleadle is an English surname of likely Anglo-Saxon origin, borne by various individuals and families in the United Kingdom.
-
C.
Lesk
Lesk is a smaller river or stream in Poland that serves as a tributary of the Bóbr River.
-
D.
Ei Thesaurus
Ei Thesaurus is a controlled vocabulary and indexing tool used to standardize subject terms for engineering and technical literature in the Ei Compendex database.
-
E.
OED
OED is the acronym commonly used for the Oregon Employment Department, the state agency responsible for administering unemployment insurance and workforce services in Oregon.
- 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_69d85a113ee881908e297a1d38dd79fa |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0368869f8819098cf9e7801e37548 |
completed | April 16, 2026, 1:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69feef8513a08190b2d2a7dde85dd43d |
completed | May 9, 2026, 8:25 a.m. |
| NEDg | Description generation | batch_69fef23de4688190beeb59ef43891e3d |
completed | May 9, 2026, 8:37 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fef2d8fe04819084bb3deb6859d746 |
completed | May 9, 2026, 8:39 a.m. |
Created at: April 10, 2026, 3:15 a.m.