Triple
T28327762
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shangyuan Festival |
E717456
|
entity |
| Predicate | typeOfLantern |
P197258
|
FINISHED |
| Object | paper lanterns |
—
|
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: paper lanterns | Statement: [Shangyuan Festival, typeOfLantern, paper lanterns]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfLantern Context triple: [Shangyuan Festival, typeOfLantern, paper lanterns]
-
A.
typicalLanternDiameter
Indicates the usual or standard diameter measurement associated with a lantern.
-
B.
lanternColor
Indicates that one entity specifies or describes the color attribute of a lantern associated with another entity.
-
C.
hasDomeLantern
Indicates that one entity possesses or features a dome-shaped lantern structure as part of its form or design.
-
D.
hasLanternLightSource
Indicates that an entity uses a lantern as its source of light.
-
E.
lanternDesign
Indicates a relationship where one entity is responsible for the design, style, or pattern of a lantern associated with another entity.
- 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_69eff6e9a57c8190a69c2c74b5d72119 |
completed | April 27, 2026, 11:53 p.m. |
| NER | Named-entity recognition | batch_69fe831c97c88190b27ecf100e25c2a0 |
completed | May 9, 2026, 12:43 a.m. |
| PD | Predicate disambiguation | batch_69fe7f1b92648190b14e56bcaee5d0ca |
completed | May 9, 2026, 12:26 a.m. |
| PDg | Predicate description generation | batch_69fe831ba4708190a5564afd7d5a4319 |
completed | May 9, 2026, 12:43 a.m. |
Created at: April 28, 2026, 12:29 a.m.