Triple
T223054
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rijksmuseum |
E4257
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Philips Wing
Philips Wing is a modern exhibition and gallery space within Amsterdam’s Rijksmuseum, often used for temporary and special exhibitions.
|
E28400
|
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: Philips Wing | Statement: [Rijksmuseum, hasPart, Philips Wing]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Philips Wing Context triple: [Rijksmuseum, hasPart, Philips Wing]
-
A.
G-Wiz
G-Wiz is the costumed, wizard-themed mascot who entertains fans at Washington Wizards basketball games.
-
B.
Honeywell 316
The Honeywell 316 is a 16-bit minicomputer introduced in the late 1960s, used widely for real-time control, industrial, and embedded applications.
-
C.
Philortyx
Philortyx is a genus of New World quails known for their ground-dwelling habits and occurrence in scrub and grassland habitats of the Americas.
-
D.
Flivver
Flivver is a colloquial nickname for the Ford Model T, the iconic early 20th-century mass-produced automobile that revolutionized personal transportation.
-
E.
Dyson
Dyson is a surname most famously associated with theoretical physicist and mathematician Freeman Dyson, known for his influential work in quantum electrodynamics and futurism.
- 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: Philips Wing Triple: [Rijksmuseum, hasPart, Philips Wing]
Generated description
Philips Wing is a modern exhibition and gallery space within Amsterdam’s Rijksmuseum, often used for temporary and special exhibitions.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Philips Wing Target entity description: Philips Wing is a modern exhibition and gallery space within Amsterdam’s Rijksmuseum, often used for temporary and special exhibitions.
-
A.
G-Wiz
G-Wiz is the costumed, wizard-themed mascot who entertains fans at Washington Wizards basketball games.
-
B.
Honeywell 316
The Honeywell 316 is a 16-bit minicomputer introduced in the late 1960s, used widely for real-time control, industrial, and embedded applications.
-
C.
Philortyx
Philortyx is a genus of New World quails known for their ground-dwelling habits and occurrence in scrub and grassland habitats of the Americas.
-
D.
Flivver
Flivver is a colloquial nickname for the Ford Model T, the iconic early 20th-century mass-produced automobile that revolutionized personal transportation.
-
E.
Dyson
Dyson is a surname most famously associated with theoretical physicist and mathematician Freeman Dyson, known for his influential work in quantum electrodynamics and futurism.
- 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_69a2573508588190b522c2476d91acfe |
completed | Feb. 28, 2026, 2:47 a.m. |
| NER | Named-entity recognition | batch_69a25c705fd88190bfee7f5e1f7cee17 |
completed | Feb. 28, 2026, 3:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a34d96acd88190ae3c8c86bee2572c |
completed | Feb. 28, 2026, 8:18 p.m. |
| NEDg | Description generation | batch_69a351694cf48190a87a4135868cab86 |
completed | Feb. 28, 2026, 8:34 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a351c25af08190858e4d6644ddd75d |
completed | Feb. 28, 2026, 8:36 p.m. |
Created at: Feb. 28, 2026, 2:53 a.m.