Triple
T11784023
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | T-29 |
E280223
|
entity |
| Predicate | trainingStations |
P101563
|
FINISHED |
| Object | navigation training stations |
—
|
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: navigation training stations | Statement: [T-29, trainingStations, navigation training stations]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: trainingStations Context triple: [T-29, trainingStations, navigation training stations]
-
A.
trainingLocationType
Indicates the type or category of place where a training activity occurs.
-
B.
trainingFacilityLocation
Indicates the place or site where a training facility is situated or operates.
-
C.
trainingGround
Indicates a location or context where entities engage in practice, drills, or preparation activities to develop or improve skills.
-
D.
trainingPlatform
Indicates that one entity serves as a platform or environment used to deliver, manage, or conduct training activities for another entity.
-
E.
trainingCamps
Indicates that one entity organizes, hosts, or is associated with training camps for another entity or group.
- 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_69d6ab258b808190b1735835c841e3a4 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a8c2e8b08190a31b1e284fca2aee |
completed | April 10, 2026, 7:37 a.m. |
| PD | Predicate disambiguation | batch_69d8a242cd8c819086ed6c5f292dc8cb |
completed | April 10, 2026, 7:09 a.m. |
| PDg | Predicate description generation | batch_69d8a8c07d648190b8650d31f3a15090 |
completed | April 10, 2026, 7:37 a.m. |
Created at: April 8, 2026, 9:42 p.m.