Triple
T28051765
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Northampton Street Bridge vicinity (Easton area) |
E708841
|
entity |
| Predicate | transportationLinkType |
P113695
|
FINISHED |
| Object | road bridge |
—
|
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: road bridge | Statement: [Northampton Street Bridge vicinity (Easton area), transportationLinkType, road bridge]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: transportationLinkType Context triple: [Northampton Street Bridge vicinity (Easton area), transportationLinkType, road bridge]
-
A.
transportLinkType
chosen
Indicates the specific kind of transportation connection or route that exists between two locations or transport nodes.
-
B.
transportationLinksTo
Indicates that there is a transportation connection or route enabling movement or travel between the two entities.
-
C.
isTransportationLinkBetween
Indicates that there exists a transportation connection (such as a road, rail, air, or sea route) linking the two entities.
-
D.
servesTransportLinks
Indicates that one entity provides or supports transportation connections or routes for another entity or area.
-
E.
transportHubType
Indicates the specific category or kind of transport hub associated with an entity (e.g., airport, train station, bus terminal).
- 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_69ef9b6df9f48190bbb971d02cbe1b65 |
completed | April 27, 2026, 5:22 p.m. |
| NER | Named-entity recognition | batch_69f7c777e924819081a6634f549fe552 |
completed | May 3, 2026, 10:08 p.m. |
| PD | Predicate disambiguation | batch_69f7c475c58c8190a883554231e88c88 |
completed | May 3, 2026, 9:56 p.m. |
Created at: April 27, 2026, 8:33 p.m.