Triple
T18716951
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Half Street SE entrance |
E457664
|
entity |
| Predicate | inCorridor |
P132404
|
FINISHED |
| Object | busy pedestrian corridor near Nationals Park |
—
|
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: busy pedestrian corridor near Nationals Park | Statement: [Half Street SE entrance, inCorridor, busy pedestrian corridor near Nationals Park]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: inCorridor Context triple: [Half Street SE entrance, inCorridor, busy pedestrian corridor near Nationals Park]
-
A.
hasCorridor
Indicates that one entity includes, is connected by, or provides access through a corridor to another entity.
-
B.
corridorType
Indicates the specific kind or classification of a corridor associated with an entity or location.
-
C.
isPartOfCorridorSystem
Indicates that one entity forms a component or segment within a larger interconnected corridor system.
-
D.
corridorFunction
Indicates that one entity serves as a corridor or passageway functionally connecting or providing access between other spaces or areas.
-
E.
corridorOrientation
Indicates the directional alignment or bearing of a corridor relative to a reference frame or coordinate system.
- 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_69d8d393ba9c8190a8b03b04ddbb0a09 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e56ab6e0948190b8c70bdea43d2ee5 |
completed | April 19, 2026, 11:52 p.m. |
| PD | Predicate disambiguation | batch_69e478e0889c8190a118d67b200ce8ef |
completed | April 19, 2026, 6:40 a.m. |
| PDg | Predicate description generation | batch_69e484133ee48190a80f1889d79f34c9 |
completed | April 19, 2026, 7:28 a.m. |
Created at: April 10, 2026, 11:50 a.m.