Triple
T35022663
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chi Lin Nunnery |
E1010237
|
entity |
| Predicate | constructionMaterialCharacteristic |
P23657
|
FINISHED |
| Object | built without nails |
—
|
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: built without nails | Statement: [Chi Lin Nunnery, constructionMaterialCharacteristic, built without nails]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: constructionMaterialCharacteristic Context triple: [Chi Lin Nunnery, constructionMaterialCharacteristic, built without nails]
-
A.
constructionCharacteristic
chosen
Indicates a specific structural or material property that characterizes how something is built or constructed.
-
B.
materialCharacteristics
Indicates the inherent physical or compositional properties that define a material’s behavior or performance in a given context.
-
C.
constructionFeatures
Indicates the specific structural or design characteristics that define how something is built or assembled.
-
D.
constructionCostCharacteristic
Indicates a relationship where a construction project or element is associated with specific cost-related attributes or parameters.
-
E.
featuresMaterialType
Indicates that an entity is characterized by or incorporates a specific type of material.
- 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_69f76dccf0108190af43b465d3750196 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fd592e48cc81909d754cc6c4bd99ae |
completed | May 8, 2026, 3:31 a.m. |
| PD | Predicate disambiguation | batch_69fd58b7f9b881909dc099b28d567784 |
completed | May 8, 2026, 3:30 a.m. |
Created at: May 3, 2026, 4:01 p.m.