Triple
T9692792
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 天安门 |
E234574
|
entity |
| Predicate | 建筑风格 |
P607
|
FINISHED |
| Object | 中国古代宫殿式建筑 |
—
|
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: 中国古代宫殿式建筑 | Statement: [天安门, 建筑风格, 中国古代宫殿式建筑]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 建筑风格 Context triple: [天安门, 建筑风格, 中国古代宫殿式建筑]
-
A.
architecturalStyle
chosen
Indicates the architectural design tradition, movement, or style that characterizes the form and appearance of a structure or built work.
-
B.
architecturalStyleCombines
Indicates that something incorporates elements or characteristics from multiple architectural styles into a single design.
-
C.
architectureType
Indicates the specific style or category of architecture that characterizes or defines an entity.
-
D.
architecturalStyleIncludes
Indicates that a structure, building, or design incorporates or exemplifies a particular architectural style as one of its defining characteristics.
-
E.
architecturalConcept
Indicates that one entity represents or embodies an architectural concept in relation to another entity.
- 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_69ca84cb580c8190a7e5f4b3bcdaf2a4 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9d0727908190897894151c0ee7c2 |
completed | April 1, 2026, 10:32 p.m. |
| PD | Predicate disambiguation | batch_69ccd5b840f081909f66bf0b66d17d9b |
completed | April 1, 2026, 8:22 a.m. |
Created at: March 30, 2026, 8:17 p.m.