Triple
T13173943
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Boyson Trail |
E313049
|
entity |
| Predicate | hasMaintenanceType |
P108889
|
FINISHED |
| Object | maintained as a recreational facility |
—
|
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: maintained as a recreational facility | Statement: [Boyson Trail, hasMaintenanceType, maintained as a recreational facility]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMaintenanceType Context triple: [Boyson Trail, hasMaintenanceType, maintained as a recreational facility]
-
A.
hasMaintenance
Indicates that an entity is subject to, associated with, or requires a particular maintenance activity or maintenance record.
-
B.
hasMaintenanceBase
Indicates that an entity is supported, serviced, or maintained at a specific base or maintenance facility.
-
C.
hasMaintenanceService
Indicates that an entity receives or is covered by a maintenance service provided by another entity.
-
D.
hasMaintenanceGoal
Indicates that an entity is associated with a specific objective or target related to its upkeep, repair, or ongoing maintenance activities.
-
E.
hasMaintenancePort
Indicates that an entity is equipped with a dedicated port or interface used specifically for maintenance, diagnostics, or service operations.
- 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_69d806ac3ee081909b2fd27d060aa974 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98cf054f88190b05ced98d5a22a62 |
completed | April 10, 2026, 11:51 p.m. |
| PD | Predicate disambiguation | batch_69d98bc2c0c88190be357811aa8e828d |
completed | April 10, 2026, 11:46 p.m. |
| PDg | Predicate description generation | batch_69d98ceeb22c8190a6be666031d9e5a4 |
completed | April 10, 2026, 11:51 p.m. |
Created at: April 9, 2026, 9:14 p.m.