Triple
T26949902
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Haeinsa |
E678751
|
entity |
| Predicate | JanggyeongPanjeonDesignFeature |
P57584
|
FINISHED |
| Object | thick clay walls |
—
|
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: thick clay walls | Statement: [Haeinsa, JanggyeongPanjeonDesignFeature, thick clay walls]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: JanggyeongPanjeonDesignFeature Context triple: [Haeinsa, JanggyeongPanjeonDesignFeature, thick clay walls]
-
A.
JanggyeongPanjeonFunction
Indicates the functional role or purpose that the Janggyeong Panjeon complex serves, such as preserving, protecting, or housing specific items or materials.
-
B.
previousDesignFeature
Indicates that one design feature precedes another in a sequence or earlier version of a design.
-
C.
designedFeature
chosen
Indicates that one entity is a feature or component intentionally planned, created, or specified by another entity as part of a design.
-
D.
playDesignFeature
Indicates that a design feature is incorporated into or utilized within a play or gameplay experience.
-
E.
cuisineFeature
Indicates a characteristic, quality, or notable aspect that describes or distinguishes a particular cuisine.
- 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_69eeeb4e75f08190b14fc91ca4a91488 |
completed | April 27, 2026, 4:51 a.m. |
| NER | Named-entity recognition | batch_69f62d53ad58819080c5227c7a729d15 |
completed | May 2, 2026, 4:58 p.m. |
| PD | Predicate disambiguation | batch_69f62c15952881908a5ea0c25904afec |
completed | May 2, 2026, 4:53 p.m. |
Created at: April 27, 2026, 6:24 a.m.