Triple
T34106321
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baltimore–Annapolis Boulevard |
E874715
|
entity |
| Predicate | followsCorridorBetween |
P113607
|
FINISHED |
| Object | Baltimore metropolitan area |
—
|
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: Baltimore metropolitan area | Statement: [Baltimore–Annapolis Boulevard, followsCorridorBetween, Baltimore metropolitan area]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: followsCorridorBetween Context triple: [Baltimore–Annapolis Boulevard, followsCorridorBetween, Baltimore metropolitan area]
-
A.
followedCorridor
Indicates that an entity moved along and stayed within the path of a corridor from one point to another.
-
B.
onCorridorBetween
chosen
Indicates that one entity is located along the corridor that lies between two other reference entities or areas.
-
C.
onCorridorTo
Indicates that one location is directly connected to another via a corridor leading toward it.
-
D.
focusesOnCorridor
Indicates that an action, attention, or process is directed specifically toward a corridor or passageway.
-
E.
parallelCorridorFor
Indicates that one corridor runs alongside and in the same general direction as another corridor, forming a parallel passage.
- 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_69f349a80d4481908527317d43f5c579 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69feabcda59481908f2bc13b46fcced1 |
completed | May 9, 2026, 3:36 a.m. |
| PD | Predicate disambiguation | batch_69feaabd63f88190b30dcf6dd2ea39d1 |
completed | May 9, 2026, 3:32 a.m. |
Created at: May 1, 2026, 1:53 a.m.