Triple
T34021812
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jain dharmashalas |
E872399
|
entity |
| Predicate | typicalAccommodationStyle |
P75185
|
FINISHED |
| Object | simple |
—
|
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: simple | Statement: [Jain dharmashalas, typicalAccommodationStyle, simple]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalAccommodationStyle Context triple: [Jain dharmashalas, typicalAccommodationStyle, simple]
-
A.
accommodationStyle
chosen
Indicates the manner or type of lodging or housing arrangement provided or used in a given context.
-
B.
sleepingAccommodation
Indicates that one entity serves as a place or facility where another entity can sleep or stay overnight.
-
C.
hasTouristAccommodationType
Indicates that an entity provides or is classified by a specific type or category of tourist accommodation.
-
D.
associatedHouseStyle
Indicates a relationship where a house or building is linked to a particular architectural style or design tradition.
-
E.
keeperHouseStyle
Indicates the architectural or design style associated with a keeper’s house (e.g., lighthouse keeper’s residence).
- 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_69f349a19ad88190ab586f010c804a8f |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_6a037c8ae0248190b7e2ce4bf852c22d |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379f963908190846d232f386fd98f |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 1, 2026, 1:51 a.m.