Triple
T3203518
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arthurian legend |
E67105
|
entity |
| Predicate | hasSetting |
P3538
|
FINISHED |
| Object |
Logres
Logres is the legendary kingdom associated with King Arthur, often depicted as the idealized realm of Camelot and the Knights of the Round Table in Arthurian romance.
|
E335145
|
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: Logres | Statement: [Arthurian legend, hasSetting, Logres]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Logres Context triple: [Arthurian legend, hasSetting, Logres]
-
A.
Lamlash
Lamlash is a coastal village and the largest settlement on the Isle of Arran in Scotland, known for its scenic bay facing Holy Isle.
-
B.
Ludes
Ludes is a wine-producing village in France’s Champagne region, known for its vineyards on the Montagne de Reims.
-
C.
Kalorama
Kalorama is an affluent, historic residential neighborhood in Northwest Washington, D.C., known for its embassies, stately mansions, and prominent political residents.
-
D.
Loferl
Loferl are traditional Bavarian calf-warmers or split socks typically worn with Lederhosen as part of Alpine folk costume.
-
E.
Avsola
Avsola is a biosimilar monoclonal antibody to infliximab used to treat various autoimmune inflammatory conditions.
- 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: Logres Triple: [Arthurian legend, hasSetting, Logres]
Generated description
Logres is the legendary kingdom associated with King Arthur, often depicted as the idealized realm of Camelot and the Knights of the Round Table in Arthurian romance.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Logres Target entity description: Logres is the legendary kingdom associated with King Arthur, often depicted as the idealized realm of Camelot and the Knights of the Round Table in Arthurian romance.
-
A.
Lamlash
Lamlash is a coastal village and the largest settlement on the Isle of Arran in Scotland, known for its scenic bay facing Holy Isle.
-
B.
Ludes
Ludes is a wine-producing village in France’s Champagne region, known for its vineyards on the Montagne de Reims.
-
C.
Kalorama
Kalorama is an affluent, historic residential neighborhood in Northwest Washington, D.C., known for its embassies, stately mansions, and prominent political residents.
-
D.
Loferl
Loferl are traditional Bavarian calf-warmers or split socks typically worn with Lederhosen as part of Alpine folk costume.
-
E.
Avsola
Avsola is a biosimilar monoclonal antibody to infliximab used to treat various autoimmune inflammatory conditions.
- 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_69ad8589bd988190afa7ed2bdffb7b33 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada9b188a88190b7b5e9b3be9410db |
completed | March 8, 2026, 4:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b24bc7772c8190b286141dac5ea778 |
completed | March 12, 2026, 5:14 a.m. |
| NEDg | Description generation | batch_69b24ca05434819080ee515b1e7bdcb4 |
completed | March 12, 2026, 5:18 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b24d19250c81908a9c3ac95b83a473 |
completed | March 12, 2026, 5:20 a.m. |
Created at: March 8, 2026, 3:07 p.m.