Triple
T2219082
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Penn Center |
E48098
|
entity |
| Predicate | transportationIntegration |
P33879
|
FINISHED |
| Object | integrated with regional rail and subway 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: integrated with regional rail and subway access | Statement: [Penn Center, transportationIntegration, integrated with regional rail and subway access]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: transportationIntegration Context triple: [Penn Center, transportationIntegration, integrated with regional rail and subway access]
-
A.
transportationFunction
Indicates that one entity serves to move or carry another entity from one place to another.
-
B.
transportAdvisory
Indicates that guidance, warnings, or recommendations are being issued regarding transportation conditions, operations, or usage.
-
C.
transportHubType
Indicates the specific category or kind of transport hub associated with an entity (e.g., airport, train station, bus terminal).
-
D.
nearbyTransit
Indicates that one location has public transportation options situated within a short distance or easy access from it.
-
E.
transportModeIntegration
chosen
Indicates that different modes of transportation are coordinated or combined to enable seamless or efficient movement within a journey or transport system.
- 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_69a88aa1ee708190862c8c378c41e9eb |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abc011d50c8190b1c375cc633f8189 |
completed | March 7, 2026, 6:05 a.m. |
| PD | Predicate disambiguation | batch_69abbdac31d8819092d17815e11921e9 |
completed | March 7, 2026, 5:54 a.m. |
Created at: March 4, 2026, 7:46 p.m.