Triple
T34856607
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sanju Samson |
E1004741
|
entity |
| Predicate | trainingRegion |
P38230
|
FINISHED |
| Object | Kerala |
—
|
NE NERFINISHED |
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: Kerala | Statement: [Sanju Samson, trainingRegion, Kerala]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: trainingRegion Context triple: [Sanju Samson, trainingRegion, Kerala]
-
A.
trainingBaseRegion
chosen
Indicates the geographic region where an entity’s training activities or training base is located or conducted.
-
B.
trainingUse
Indicates that something is used for training purposes, such as preparing, educating, or improving the skills or performance of an entity.
-
C.
trainingLocationAssociated
Indicates that a training activity or program is connected with or conducted at a particular location.
-
D.
trackRegion
Indicates that an entity is associated with, occurs within, or is relevant to a specific geographic or logical region used for tracking.
-
E.
trainingOrigin
Indicates the source or context from which an entity’s training, instruction, or preparation was derived.
- 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_69f76dba76f0819090643cba102c41ec |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f7886be6d8819095ec62e4f2cee858 |
completed | May 3, 2026, 5:39 p.m. |
| PD | Predicate disambiguation | batch_69f7841440f48190b4346c08855951d2 |
completed | May 3, 2026, 5:21 p.m. |
Created at: May 3, 2026, 4 p.m.