Triple
T2724100
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Loretto Chapel |
E60148
|
entity |
| Predicate | hasEngineeringInterest |
P15961
|
FINISHED |
| Object | unconventional support structure of staircase |
—
|
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: unconventional support structure of staircase | Statement: [Loretto Chapel, hasEngineeringInterest, unconventional support structure of staircase]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasEngineeringInterest Context triple: [Loretto Chapel, hasEngineeringInterest, unconventional support structure of staircase]
-
A.
hasEngineeringSignificance
chosen
Indicates that something holds notable importance, impact, or relevance within an engineering context or for engineering activities.
-
B.
hasProgrammingFocus
Indicates that something is centered on, specialized in, or primarily concerned with programming.
-
C.
hasEngineeringStyle
Indicates that an entity possesses or exhibits a particular engineering approach, methodology, or design style in how it is created, structured, or operates.
-
D.
laterEngineer
Indicates that one entity becomes an engineer at a later time than another entity.
-
E.
isTechnical
Indicates that an entity possesses specialized technical knowledge, skills, or characteristics related to technology, engineering, or applied sciences.
- 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_69ab4b746d248190958e052045c09255 |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abdacc0a6881909b64a4d22e1d7690 |
completed | March 7, 2026, 7:59 a.m. |
| PD | Predicate disambiguation | batch_69abd82586f88190a98f60d3247fe2d3 |
completed | March 7, 2026, 7:47 a.m. |
Created at: March 6, 2026, 9:55 p.m.