Triple
T4510889
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Second Street (Philadelphia) |
E102050
|
entity |
| Predicate | hasDirectionScheme |
P57090
|
FINISHED |
| Object | north–south numbered streets in Philadelphia |
—
|
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: north–south numbered streets in Philadelphia | Statement: [Second Street (Philadelphia), hasDirectionScheme, north–south numbered streets in Philadelphia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDirectionScheme Context triple: [Second Street (Philadelphia), hasDirectionScheme, north–south numbered streets in Philadelphia]
-
A.
hasDirectionType
Indicates that something possesses or is associated with a specific type or category of direction.
-
B.
hasRouteDirection
Indicates that a specified route is associated with a particular travel direction (e.g., inbound, outbound, northbound).
-
C.
containsDirectionOf
Indicates that one entity includes or encompasses the directional orientation or path associated with another entity.
-
D.
directionalConfiguration
Indicates a specific spatial or directional arrangement that one entity has relative to another.
-
E.
hasTwoOperationalDirections
Indicates that an entity supports or functions in two distinct operational directions or modes.
- F. None of above. chosen
Provenance (4 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_69bd43d6251c81909deecce3e6e9d69c |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd5712b9308190876c117b50d12635 |
completed | March 20, 2026, 2:17 p.m. |
| PD | Predicate disambiguation | batch_69bd5218afb4819087c99e0a1f22e137 |
completed | March 20, 2026, 1:56 p.m. |
| PDg | Predicate description generation | batch_69bd56b3e4c88190a7ade3d0ed0ab606 |
completed | March 20, 2026, 2:16 p.m. |
Created at: March 20, 2026, 1:01 p.m.