Triple
T30517743
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | People’s Defense Forces |
E776610
|
entity |
| Predicate | trainingLocations |
P160461
|
FINISHED |
| Object | rural and mountainous camps |
—
|
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: rural and mountainous camps | Statement: [People’s Defense Forces, trainingLocations, rural and mountainous camps]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: trainingLocations Context triple: [People’s Defense Forces, trainingLocations, rural and mountainous camps]
-
A.
trainingLocationType
Indicates the type or category of place where a training activity occurs.
-
B.
trainingLocationAssociated
chosen
Indicates that a training activity or program is connected with or conducted at a particular location.
-
C.
trainingFacilityLocation
Indicates the place or site where a training facility is situated or operates.
-
D.
trainingStations
Indicates a relationship where certain locations or facilities serve as designated sites for training activities or instruction.
-
E.
previousTrainingLocation
Indicates the place where an entity received training immediately before the current or referenced training event.
- 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_69f2249b23c4819087fa85496d92f43f |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f6bbf6e33c819086e5176d64e7a614 |
completed | May 3, 2026, 3:07 a.m. |
| PD | Predicate disambiguation | batch_69f6ba6b1e6c8190adf9d6a257e0b744 |
completed | May 3, 2026, 3 a.m. |
Created at: April 29, 2026, 8:16 p.m.