Triple
T10641901
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Church Street Historic District, Vienna, Virginia |
E250741
|
entity |
| Predicate | transportHistoryRelatedTo |
P31374
|
FINISHED |
| Object | railroad corridor through Vienna |
—
|
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: railroad corridor through Vienna | Statement: [Church Street Historic District, Vienna, Virginia, transportHistoryRelatedTo, railroad corridor through Vienna]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: transportHistoryRelatedTo Context triple: [Church Street Historic District, Vienna, Virginia, transportHistoryRelatedTo, railroad corridor through Vienna]
-
A.
hasTransportHistory
chosen
Indicates that there exists a record or sequence of past transportation-related events or movements associated with an entity.
-
B.
hasTransportHistoryAs
Indicates that an entity has a record or log of being transported, characterized or classified in a specific way.
-
C.
hasTourHistory
Indicates that an entity has a record of past tours or tour-related activities.
-
D.
hasTramHistory
Indicates that there exists a historical association or record of tram-related activity or infrastructure involving the subject.
-
E.
involvedTravelBetween
Indicates a relationship where an entity participates in or is associated with travel occurring between two specified locations.
- 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_69d6aa5a4c4881908f39be6efe5981e5 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6dfce1ddc8190893fe6f7b047b56b |
completed | April 8, 2026, 11:07 p.m. |
| PD | Predicate disambiguation | batch_69d6dd83b114819098e84dc658e82d7e |
completed | April 8, 2026, 10:58 p.m. |
Created at: April 8, 2026, 9:05 p.m.