Triple
T88192
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pentagon |
E1772
|
entity |
| Predicate | officeArea |
P175
|
FINISHED |
| Object | approximately 3700000 square feet |
—
|
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: approximately 3700000 square feet | Statement: [Pentagon, officeArea, approximately 3700000 square feet]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: officeArea Context triple: [Pentagon, officeArea, approximately 3700000 square feet]
-
A.
office
Indicates that an entity holds or occupies an official position, role, or post within an organization or institution.
-
B.
officeNumber
Indicates the specific room or suite number assigned to an office within a building or complex.
-
C.
area
chosen
Indicates that one entity has a measured two-dimensional extent or surface size quantified by another entity.
-
D.
leftOffice
Indicates that an entity ceased holding or performing the duties of a particular office or position.
-
E.
limitsOffice
Indicates that one entity imposes a restriction or cap on the scope, duration, or powers of another entity’s office or official position.
- 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_69a24d1a97dc819094e6c021fe9b05a7 |
completed | Feb. 28, 2026, 2:04 a.m. |
| NER | Named-entity recognition | batch_69a2503d304c8190a0034ffa4a38a501 |
completed | Feb. 28, 2026, 2:17 a.m. |
| PD | Predicate disambiguation | batch_69a24eb6da2c8190a33d144d219f7abe |
completed | Feb. 28, 2026, 2:11 a.m. |
Created at: Feb. 28, 2026, 2:07 a.m.