Triple
T33384984
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Five Points, Montgomeryville |
E854887
|
entity |
| Predicate | isMajorTrafficNodeFor |
P145586
|
FINISHED |
| Object | Montgomeryville |
—
|
NE NERFINISHED |
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: Montgomeryville | Statement: [Five Points, Montgomeryville, isMajorTrafficNodeFor, Montgomeryville]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isMajorTrafficNodeFor Context triple: [Five Points, Montgomeryville, isMajorTrafficNodeFor, Montgomeryville]
-
A.
isMajorTrafficRoute
Indicates that a road or pathway serves as a primary, heavily used route for traffic flow within a transportation network.
-
B.
isMajorTransitNode
chosen
Indicates that a location functions as a primary hub in a transportation network, where multiple major routes or services intersect or connect.
-
C.
isMajorRouteThrough
Indicates that a route serves as a primary or significant pathway passing through a specified area or location.
-
D.
isMajorInterchangeFor
Indicates that one location functions as a primary hub where multiple routes or lines connect or transfer between each other for another location.
-
E.
isMajorRoadJunction
Indicates that a location serves as a primary intersection where major roads or highways meet or cross.
- 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_69f3496d54048190a1cb91fdd7caa6ea |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69fd57ba740c8190bd1d40166fccccb7 |
completed | May 8, 2026, 3:25 a.m. |
| PD | Predicate disambiguation | batch_69fd55ee82b881908a639da3a41b3af6 |
completed | May 8, 2026, 3:18 a.m. |
Created at: May 1, 2026, 1:35 a.m.