Triple
T27766848
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 客家人 |
E701622
|
entity |
| Predicate | 传统建筑 |
P163229
|
FINISHED |
| Object | 围龙屋 |
—
|
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: 围龙屋 | Statement: [客家人, 传统建筑, 围龙屋]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 传统建筑 Context triple: [客家人, 传统建筑, 围龙屋]
-
A.
numberOfNewTraditionalStyleBuildings
Indicates the count of newly constructed buildings that follow a traditional architectural style.
-
B.
traditionallyHouses
Indicates that one entity has historically or customarily served as the location or container for another entity.
-
C.
hasTraditionalFarmBuildings
Indicates that an entity possesses or includes buildings typically associated with traditional farming activities.
-
D.
buildingMaterialTradition
Indicates the customary or historically established use of particular materials in the construction of a building or structure.
-
E.
traditionallyBuiltOver
Indicates that one entity has been constructed on top of another in a manner consistent with long-established or customary building practices.
- F. None of above. chosen
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_69ef6a52fa708190934a32308d2c92dc |
completed | April 27, 2026, 1:53 p.m. |
| NER | Named-entity recognition | batch_69f637939be0819082653d4115cd1be1 |
completed | May 2, 2026, 5:42 p.m. |
| PD | Predicate disambiguation | batch_69f63188e7408190af8ce8b93d128c63 |
completed | May 2, 2026, 5:16 p.m. |
| PDg | Predicate description generation | batch_69f6352df6148190bc10772cd40bd7b3 |
completed | May 2, 2026, 5:32 p.m. |
Created at: April 27, 2026, 4:31 p.m.