Triple
T9742922
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prince Philip House |
E236233
|
entity |
| Predicate | listingCategory |
P70987
|
FINISHED |
| Object | Grade I |
—
|
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: Grade I | Statement: [Prince Philip House, listingCategory, Grade I]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: listingCategory Context triple: [Prince Philip House, listingCategory, Grade I]
-
A.
catalogCategory
Indicates that an item or entity is assigned to, or belongs within, a specific catalog category.
-
B.
listingType
Indicates the category or format under which an item, property, or service is offered or advertised (e.g., for sale, for rent, auction, etc.).
-
C.
category
Indicates that one entity is classified as a member or type within the grouping or class defined by another entity.
-
D.
textCategory
Indicates that a piece of text belongs to or is classified under a particular category or type.
-
E.
categoryLabel_N
chosen
Indicates that an entity is assigned a specific categorical label or classification name.
- 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_69ca84d3e24481908a476e2231123cf9 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9f2cb7008190a829a03114d6c704 |
completed | April 1, 2026, 10:41 p.m. |
| PD | Predicate disambiguation | batch_69cd03cc128c81908b84ef224f858b4e |
completed | April 1, 2026, 11:38 a.m. |
Created at: March 30, 2026, 8:23 p.m.