Triple
T10667257
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pennsylvania Avenue |
E251386
|
entity |
| Predicate | hasStructureCode |
P95225
|
FINISHED |
| Object | ELEVATED |
—
|
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: ELEVATED | Statement: [Pennsylvania Avenue, hasStructureCode, ELEVATED]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasStructureCode Context triple: [Pennsylvania Avenue, hasStructureCode, ELEVATED]
-
A.
hasStructureType
Indicates that an entity possesses or is classified by a specific structural type or configuration.
-
B.
hasHumanStructure
Indicates that one entity possesses or exhibits a structural form or organization characteristic of humans.
-
C.
hasStructureCount
Indicates the number of structures associated with or contained by a given entity.
-
D.
hasStationStructure
Indicates that an entity possesses or is associated with a particular station-related physical structure.
-
E.
hasServiceStructure
Indicates that one entity provides, contains, or is associated with a particular service-related structure or organizational framework for delivering a service.
- 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_69d6aa5b0d2881909584b20efc5877f0 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6f3204bac8190b9bd8bfcc705b06b |
completed | April 9, 2026, 12:30 a.m. |
| PD | Predicate disambiguation | batch_69d6dd8a93208190a573061387e2aebb |
completed | April 8, 2026, 10:58 p.m. |
| PDg | Predicate description generation | batch_69d6df47899481909ac0e518d94883cb |
completed | April 8, 2026, 11:05 p.m. |
Created at: April 8, 2026, 9:08 p.m.