Triple
T6762850
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Benning Road station |
E154637
|
entity |
| Predicate | mezzanineType |
P3741
|
FINISHED |
| Object | elevated mezzanine |
—
|
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: elevated mezzanine | Statement: [Benning Road station, mezzanineType, elevated mezzanine]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mezzanineType Context triple: [Benning Road station, mezzanineType, elevated mezzanine]
-
A.
hasMezzanine
chosen
Indicates that one entity includes or is equipped with a mezzanine level in relation to another entity.
-
B.
architectureType
Indicates the specific style or category of architecture that characterizes or defines an entity.
-
C.
beamType
Indicates the specific kind or category of beam involved in the relationship or action.
-
D.
chamberType
Indicates the specific kind or category of chamber associated with an entity (e.g., room, compartment, or enclosed space type).
-
E.
buildingType
Indicates the specific category or function that characterizes what kind of building something is.
- 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_69c688109c1c8190added9a221292af0 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d327e37081909d576e6eff9eec97 |
completed | March 27, 2026, 6:57 p.m. |
| PD | Predicate disambiguation | batch_69c6d09227108190b253b91967831a85 |
completed | March 27, 2026, 6:46 p.m. |
Created at: March 27, 2026, 2:12 p.m.