Triple
T7516044
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | historic center of Barichara |
E177645
|
entity |
| Predicate | doorAndWindowStyle |
P30972
|
FINISHED |
| Object | wooden doors and windows |
—
|
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: wooden doors and windows | Statement: [historic center of Barichara, doorAndWindowStyle, wooden doors and windows]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: doorAndWindowStyle Context triple: [historic center of Barichara, doorAndWindowStyle, wooden doors and windows]
-
A.
doorAndWindowDetail
chosen
Indicates a relationship that specifies detailed characteristics or features shared by both doors and windows.
-
B.
doorType
Indicates the specific kind or category of door associated with an entity.
-
C.
windowMaterial
Indicates the material from which a window is made or constructed.
-
D.
hasDoorMaterial
Indicates that an entity’s door is made of, or primarily composed of, a specified material.
-
E.
doorConfiguration
Indicates how a door is arranged or set up in relation to its frame, opening direction, and operational characteristics.
- 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_69c69f2891148190a484f3b8222c6f1b |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f5f595148190b36649b0095bb898 |
completed | March 27, 2026, 9:26 p.m. |
| PD | Predicate disambiguation | batch_69c6f4d44e9481909813e073b194f6f4 |
completed | March 27, 2026, 9:21 p.m. |
Created at: March 27, 2026, 3:46 p.m.