Triple
T27461902
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Greene County bike trail system |
E692768
|
entity |
| Predicate | primaryTrailHub |
P2958
|
FINISHED |
| Object |
Xenia Station
Xenia Station is a historic train depot in Xenia, Ohio that now serves as a central hub and trailhead for multiple regional bike paths.
|
E1774288
|
NE FINISHED |
How this triple was built (3 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: Xenia Station | Statement: [Greene County bike trail system, primaryTrailHub, Xenia Station]
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Xenia Station Triple: [Greene County bike trail system, primaryTrailHub, Xenia Station]
Generated description
Xenia Station is a historic train depot in Xenia, Ohio that now serves as a central hub and trailhead for multiple regional bike paths.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryTrailHub Context triple: [Greene County bike trail system, primaryTrailHub, Xenia Station]
-
A.
primaryHubFor
chosen
Indicates that one entity serves as the main central hub or core point of coordination for another entity or set of entities.
-
B.
trailheadIn
Indicates that a trailhead is located within or at a specific place or area.
-
C.
previousPrimaryHub
Indicates that an entity served as the main or central hub for another entity at an earlier time, before being replaced by a new primary hub.
-
D.
primaryRouteOf
Indicates that one route is the main or most important pathway used for reaching or connecting to a particular destination or entity.
-
E.
primaryRoute
Indicates that one route is designated as the main or preferred path among possible alternatives between locations.
- F. None of above.
Provenance (6 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_69ef5207903881909427745cda05d27a |
completed | April 27, 2026, 12:09 p.m. |
| NER | Named-entity recognition | batch_69ff49016dcc8190a8a43868c728b4f1 |
completed | May 9, 2026, 2:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a12bbda67c0819085a85473ce39dfc1 |
completed | May 24, 2026, 8:50 a.m. |
| NEDg | Description generation | batch_6a12bc906eb481908d12f171b1230dbe |
completed | May 24, 2026, 8:53 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a12bd3f12b481908606b8e373ff408a |
completed | May 24, 2026, 8:56 a.m. |
| PD | Predicate disambiguation | batch_69ff4891924c8190b5be340e2520e012 |
completed | May 9, 2026, 2:45 p.m. |
Created at: April 27, 2026, 12:50 p.m.