Triple
T23969021
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 227 |
E604174
|
entity |
| Predicate | locationOfApartmentBuilding |
P25921
|
FINISHED |
| Object | fictional 227 Lexington Place, Washington, D.C. |
—
|
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: fictional 227 Lexington Place, Washington, D.C. | Statement: [227, locationOfApartmentBuilding, fictional 227 Lexington Place, Washington, D.C.]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: locationOfApartmentBuilding Context triple: [227, locationOfApartmentBuilding, fictional 227 Lexington Place, Washington, D.C.]
-
A.
locationProperty
Indicates that one entity specifies or characterizes a locational attribute or spatial property of another entity.
-
B.
locatedInSectionOfBuilding
Indicates that one entity is situated within a specific section or area of a building.
-
C.
propertyLocation
chosen
Indicates the geographical place or address where a property is situated or found.
-
D.
locatedOnBuilding
Indicates that one entity is physically situated on the exterior or rooftop surface of a building.
-
E.
locationInArchitecture
Indicates the spatial position or placement of one architectural element or feature within or relative to another architectural structure or context.
- 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_69e29543019c8190872462e593cc50b4 |
completed | April 17, 2026, 8:17 p.m. |
| NER | Named-entity recognition | batch_69f1d1da2ab08190bfe653fb5a9f2c96 |
completed | April 29, 2026, 9:39 a.m. |
| PD | Predicate disambiguation | batch_69f161578d54819084a8b35496299993 |
completed | April 29, 2026, 1:39 a.m. |
Created at: April 17, 2026, 9:25 p.m.