Triple
T2698490
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | State Street (Boston) |
E58569
|
entity |
| Predicate | isAxisFor |
P25400
|
FINISHED |
| Object | Boston’s historic waterfront access |
—
|
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: Boston’s historic waterfront access | Statement: [State Street (Boston), isAxisFor, Boston’s historic waterfront access]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isAxisFor Context triple: [State Street (Boston), isAxisFor, Boston’s historic waterfront access]
-
A.
usesAxis
Indicates that one entity employs or relies on another entity as a reference axis or basis for orientation, measurement, or organization.
-
B.
isMajorAxisFor
chosen
Indicates that something serves as the primary or longest axis that defines the main directional or structural orientation of another object or system.
-
C.
ridgeAxis
Indicates the central line or crest along the top of a ridge that defines its main axis or direction.
-
D.
isReferencePointFor
Indicates that one entity serves as a positional or conceptual basis used to locate, measure, or interpret another entity.
-
E.
usesMultiaxialSystem
Indicates that one entity applies or operates according to a multiaxial classification or measurement system in relation to another entity 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_69ab4ac269e481909cb317d79e68b75b |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abda339cf48190b9ae6b99137f005e |
completed | March 7, 2026, 7:56 a.m. |
| PD | Predicate disambiguation | batch_69abd82062988190b4292f242ad70b2c |
completed | March 7, 2026, 7:47 a.m. |
Created at: March 6, 2026, 9:55 p.m.