Triple
T26562323
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | El Reno |
E666282
|
entity |
| Predicate | hasHistoricRoute66Feature |
P154994
|
FINISHED |
| Object | vintage motels |
—
|
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: vintage motels | Statement: [El Reno, hasHistoricRoute66Feature, vintage motels]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHistoricRoute66Feature Context triple: [El Reno, hasHistoricRoute66Feature, vintage motels]
-
A.
isHistoricRoute66Site
chosen
Indicates that a location is situated on, or historically associated with, the original U.S. Route 66 highway and recognized as part of its historic route.
-
B.
hasRailroadHistoryWith
Indicates a historical relationship or connection between entities involving railroads, such as shared development, operation, or significant events in railway history.
-
C.
hasHistoricalRoute
Indicates that an entity possesses or is associated with a route that has historical significance or origin.
-
D.
historicRoute
Indicates that a route has historical significance, typically due to its age, past usage, or role in notable events.
-
E.
hasHistoricStreet
Indicates that an entity is associated with or located on a street that has recognized historical significance.
- 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_69ee9cf7e94481909f0d556b36e43572 |
completed | April 26, 2026, 11:17 p.m. |
| NER | Named-entity recognition | batch_69f7805ce6208190ac6dbd9c97989978 |
completed | May 3, 2026, 5:05 p.m. |
| PD | Predicate disambiguation | batch_69f77956ec648190ba4fb7e9d83fd107 |
completed | May 3, 2026, 4:35 p.m. |
Created at: April 27, 2026, 1:53 a.m.