Triple
T268078
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yellow Crane Tower |
E5775
|
entity |
| Predicate | hasPoemInscription |
P4188
|
FINISHED |
| Object | Cui Hao’s “Yellow Crane Tower” poem |
E5775
|
NE FINISHED |
How this triple was built (3 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: Cui Hao’s “Yellow Crane Tower” poem | Statement: [Yellow Crane Tower, hasPoemInscription, Cui Hao’s “Yellow Crane Tower” poem]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cui Hao’s “Yellow Crane Tower” poem Context triple: [Yellow Crane Tower, hasPoemInscription, Cui Hao’s “Yellow Crane Tower” poem]
-
A.
Yellow Crane Tower
chosen
Yellow Crane Tower is a historic and iconic Chinese pavilion in Wuhan, renowned for its classical architecture, cultural significance, and scenic views over the Yangtze River.
-
B.
Samuel Taylor Coleridge's poem "Kubla Khan" (Xanadu)
Samuel Taylor Coleridge's poem "Kubla Khan" is a famous Romantic-era work that vividly depicts the exotic, dreamlike pleasure-dome of Xanadu and has become iconic for its rich imagery and fragmentary, visionary quality.
-
C.
Xuan
Xuan is a Vietnamese surname commonly used as a family name in Vietnam.
-
D.
He Zizhen
He Zizhen was a Chinese revolutionary and early Communist Party member best known as one of Mao Zedong’s wives and a participant in the Long March.
-
E.
Kun Huang
Kun Huang was a prominent Chinese physicist and crystallographer known for his influential work in solid-state physics and lattice dynamics.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPoemInscription Context triple: [Yellow Crane Tower, hasPoemInscription, Cui Hao’s “Yellow Crane Tower” poem]
-
A.
isInscribedOn
Indicates that text, symbols, or markings are written, carved, or otherwise permanently placed onto the surface of an object.
-
B.
inscribedOn
chosen
Indicates that text, symbols, or markings are written or carved onto the surface of an object.
-
C.
hasGuestVerseBy
Indicates that a work (such as a song or track) includes a guest verse performed by a specified artist.
-
D.
hasSacredText
Indicates that an entity possesses or is associated with a particular sacred or religious text.
-
E.
hasLiteraryForm
Indicates that one entity is expressed, structured, or realized in a particular literary form (such as a genre, style, or textual format).
- F. None of above.
Provenance (4 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_69a2587daeb081909591b9d30f80a271 |
completed | Feb. 28, 2026, 2:52 a.m. |
| NER | Named-entity recognition | batch_69a25dae4a0c8190a66cf6ed3889851c |
completed | Feb. 28, 2026, 3:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a38b9082b8819099cd5e7fe3c7335f |
completed | March 1, 2026, 12:42 a.m. |
| PD | Predicate disambiguation | batch_69a25b70d99c819085d8381a313a2a34 |
completed | Feb. 28, 2026, 3:05 a.m. |
Created at: Feb. 28, 2026, 2:56 a.m.