Triple
T4752588
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bangladesh Air Force |
E105511
|
entity |
| Predicate | trainerModel |
P58554
|
FINISHED |
| Object | K-8 Karakorum |
E160672
|
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: K-8 Karakorum | Statement: [Bangladesh Air Force, trainerModel, K-8 Karakorum]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: K-8 Karakorum Context triple: [Bangladesh Air Force, trainerModel, K-8 Karakorum]
-
A.
K-8E Karakorum
chosen
The K-8E Karakorum is a Chinese-Pakistani jointly developed jet trainer aircraft variant used primarily for pilot training and light attack roles.
-
B.
Landi Kotal
Landi Kotal is a town in Pakistan’s Khyber District, historically significant as a key trading and military post near the Khyber Pass on the route to Afghanistan.
-
C.
Shergarh
Shergarh is the inner fortification within Pakistan’s historic Ranikot Fort, noted for its strategic defensive position and architectural significance.
-
D.
Khar
Khar is a suburban neighborhood in Mumbai, India, known for its residential areas, shopping streets, and proximity to the Arabian Sea.
-
E.
Gurk
Gurk is a river in southern Austria that flows through Carinthia before joining the Drava.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: trainerModel Context triple: [Bangladesh Air Force, trainerModel, K-8 Karakorum]
-
A.
trainingModel
Indicates that an entity is engaged in the process of teaching, adjusting, or optimizing a model using data or experience.
-
B.
trainer
Indicates a relationship where one entity teaches, coaches, or prepares another entity to develop skills, knowledge, or performance in a particular domain.
-
C.
trainingUse
Indicates that something is used for training purposes, such as preparing, educating, or improving the skills or performance of an entity.
-
D.
trainingVersion
Indicates that one entity is a specific training iteration, release, or configuration derived from or associated with another entity.
-
E.
trainingMethod
Indicates the specific approach, technique, or procedure used to train an entity (such as a person, model, or system).
- F. None of above. chosen
Provenance (5 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_69bd43f07fa48190954317d01600994a |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd64e5fba88190b1f28d1b0eed3f8e |
completed | March 20, 2026, 3:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be3a5ddf088190892d31275adb39ba |
completed | March 21, 2026, 6:27 a.m. |
| PD | Predicate disambiguation | batch_69bd6223defc8190823665a6592c1154 |
completed | March 20, 2026, 3:05 p.m. |
| PDg | Predicate description generation | batch_69bd6424a1d08190ac1d5fc574dc1b55 |
completed | March 20, 2026, 3:13 p.m. |
Created at: March 20, 2026, 1:20 p.m.