Triple
T19941244
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dracaenae |
E479311
|
entity |
| Predicate | includesExample |
P1259
|
FINISHED |
| Object |
Kampe (Campe)
Kampe (Campe) is a mythological dragon-like monster from Greek mythology, often depicted as a fearsome guardian creature.
|
E1403443
|
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: Kampe (Campe) | Statement: [Dracaenae, includesExample, Kampe (Campe)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kampe (Campe) Context triple: [Dracaenae, includesExample, Kampe (Campe)]
-
A.
de Camp
De Camp is the surname of L. Sprague de Camp, a prominent American science fiction and fantasy author known for his influential works in the mid-20th century.
-
B.
Sielkamp
Sielkamp is a district of the town of Sarstedt in Lower Saxony, Germany, forming part of its local residential and community area.
-
C.
Steinkamp
Steinkamp is a surname most notably associated with American film editor Fredric Steinkamp.
-
D.
Harskamp
Harskamp is a village in the Dutch province of Gelderland, known for its rural character and proximity to the Hoge Veluwe National Park.
-
E.
Koekamp
Koekamp is a historic green park and deer reserve on the edge of central The Hague in the Netherlands.
- 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: Kampe (Campe) Triple: [Dracaenae, includesExample, Kampe (Campe)]
Generated description
Kampe (Campe) is a mythological dragon-like monster from Greek mythology, often depicted as a fearsome guardian creature.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kampe (Campe) Target entity description: Kampe (Campe) is a mythological dragon-like monster from Greek mythology, often depicted as a fearsome guardian creature.
-
A.
de Camp
De Camp is the surname of L. Sprague de Camp, a prominent American science fiction and fantasy author known for his influential works in the mid-20th century.
-
B.
Sielkamp
Sielkamp is a district of the town of Sarstedt in Lower Saxony, Germany, forming part of its local residential and community area.
-
C.
Steinkamp
Steinkamp is a surname most notably associated with American film editor Fredric Steinkamp.
-
D.
Harskamp
Harskamp is a village in the Dutch province of Gelderland, known for its rural character and proximity to the Hoge Veluwe National Park.
-
E.
Koekamp
Koekamp is a historic green park and deer reserve on the edge of central The Hague in the Netherlands.
- 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_69d8e522a17c819095165d4d24939fd8 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65a6318848190a1dd3e0a6fea3fe2 |
completed | April 20, 2026, 4:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a07f6eebbb0819087108b2c76e15af1 |
completed | May 16, 2026, 4:47 a.m. |
| NEDg | Description generation | batch_6a07f79a4e5081908b92f3268f43fe5a |
completed | May 16, 2026, 4:50 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a07f813ea288190825eebcc1bf705b3 |
completed | May 16, 2026, 4:52 a.m. |
Created at: April 10, 2026, 1:54 p.m.