Triple
T25783444
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Borderland State Park |
E649353
|
entity |
| Predicate | AmesMansionInstanceOf |
P159260
|
FINISHED |
| Object | historic house |
—
|
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: historic house | Statement: [Borderland State Park, AmesMansionInstanceOf, historic house]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: AmesMansionInstanceOf Context triple: [Borderland State Park, AmesMansionInstanceOf, historic house]
-
A.
mansionSymbolizes
Indicates that a mansion serves as a symbol or representation of another concept, quality, or idea.
-
B.
numberOfMansions
Indicates the quantity of mansions associated with a given entity.
-
C.
hasMotherhouseType
Indicates the specific type or classification of a religious community’s motherhouse associated with an entity.
-
D.
isDwelling
Indicates that one entity serves as a residence or living place for another entity.
-
E.
houseFounded
Indicates that an entity (such as a house, organization, or lineage) was established or created by another entity or at a specific time.
- F. None of above. chosen
Provenance (4 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_69e7ab33e9308190afe415dc6f9e8876 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f5fe628ff88190802a8c3d39d06d42 |
completed | May 2, 2026, 1:38 p.m. |
| PD | Predicate disambiguation | batch_69f4938b960081909b53c074a3e0c7c2 |
completed | May 1, 2026, 11:50 a.m. |
| PDg | Predicate description generation | batch_69f497b8abb88190bb672cf6907c4b8d |
completed | May 1, 2026, 12:08 p.m. |
Created at: April 22, 2026, 5:52 a.m.