Triple
T52280
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Archives and Records Administration |
E1026
|
entity |
| Predicate | headquartersAddress |
P606
|
FINISHED |
| Object | 700 Pennsylvania Avenue NW, 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: 700 Pennsylvania Avenue NW, Washington, D.C. | Statement: [National Archives and Records Administration, headquartersAddress, 700 Pennsylvania Avenue NW, Washington, D.C.]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: headquartersAddress Context triple: [National Archives and Records Administration, headquartersAddress, 700 Pennsylvania Avenue NW, Washington, D.C.]
-
A.
headquartersLocation
Indicates the place where an organization’s main administrative center or principal office is located.
-
B.
headquartersCoordinates
Indicates the geographic coordinates where an entity’s main headquarters is located.
-
C.
address
Indicates that one entity directs spoken or written communication specifically to another entity.
-
D.
governmentBodyAddressed
Indicates that a particular government body is the one being directly addressed or targeted by a communication, action, or request.
-
E.
streetAddress
chosen
Indicates the specific location of an entity in terms of its numbered building and street name within a postal address.
- 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_69a2480baefc81909951b14058479aa2 |
completed | Feb. 28, 2026, 1:42 a.m. |
| NER | Named-entity recognition | batch_69a24c709c248190bcd442c8d508e48c |
completed | Feb. 28, 2026, 2:01 a.m. |
| PD | Predicate disambiguation | batch_69a24ac3c8dc819099849023bdaa35a9 |
completed | Feb. 28, 2026, 1:54 a.m. |
Created at: Feb. 28, 2026, 1:47 a.m.