Triple
T8585513
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Guastavino tile vaulting |
E203295
|
entity |
| Predicate | usesBondingMaterial |
P1272
|
FINISHED |
| Object | Portland cement mortar |
—
|
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: Portland cement mortar | Statement: [Guastavino tile vaulting, usesBondingMaterial, Portland cement mortar]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesBondingMaterial Context triple: [Guastavino tile vaulting, usesBondingMaterial, Portland cement mortar]
-
A.
bondedWith
Indicates that two entities are joined by a strong, enduring connection or attachment, whether emotional, social, or structural.
-
B.
associatedWithMaterial
Indicates a relationship where something is linked or connected to a particular material, typically as its substance, component, or relevant physical medium.
-
C.
hasBondType
Indicates the specific kind of bond or connection that exists between two related entities.
-
D.
materialUsed
chosen
Indicates that one entity is made from, incorporates, or utilizes the other entity as its material or substance.
-
E.
bondedWithSpecies
Indicates a relationship where an entity has formed a close, enduring bond or attachment with a particular species.
- 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_69ca8329bb7c8190a63c643730839103 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cc46c5e8888190b721e791c449b0df |
completed | March 31, 2026, 10:12 p.m. |
| PD | Predicate disambiguation | batch_69cc454504448190aaad2af8b17357cd |
completed | March 31, 2026, 10:05 p.m. |
Created at: March 30, 2026, 6:22 p.m.