Triple
T268069
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yellow Crane Tower |
E5775
|
entity |
| Predicate | originalConstructionCentury |
P6333
|
FINISHED |
| Object | 3rd century |
—
|
LITERAL FINISHED |
How this triple was built (2 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: 3rd century | Statement: [Yellow Crane Tower, originalConstructionCentury, 3rd century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalConstructionCentury Context triple: [Yellow Crane Tower, originalConstructionCentury, 3rd century]
-
A.
constructionCentury
chosen
Indicates the century during which something was constructed or built.
-
B.
introducedInCentury
Indicates the century during which something (such as an idea, technology, practice, or entity) was first introduced or came into use.
-
C.
compiledInCentury
Indicates that something (such as a work, text, or document) was compiled during a specified century.
-
D.
foundedInCentury
Indicates that an entity was established or came into existence during a specified century.
-
E.
publicationCentury
Indicates the century during which a work was published.
- F. None of above.
Provenance (3 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. |
| PD | Predicate disambiguation | batch_69a25b70d99c819085d8381a313a2a34 |
completed | Feb. 28, 2026, 3:05 a.m. |
Created at: Feb. 28, 2026, 2:56 a.m.