Triple
T32070938
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jaish-e-Mohammed |
E819007
|
entity |
| Predicate | hasTrainingCampsInPastReports |
P46335
|
FINISHED |
| Object | Pakistan |
—
|
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: Pakistan | Statement: [Jaish-e-Mohammed, hasTrainingCampsInPastReports, Pakistan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTrainingCampsInPastReports Context triple: [Jaish-e-Mohammed, hasTrainingCampsInPastReports, Pakistan]
-
A.
hasTrainingSessions
Indicates that an entity conducts, provides, or is associated with one or more training sessions for another entity.
-
B.
trainingCamps
chosen
Indicates that one entity organizes, hosts, or is associated with training camps for another entity or group.
-
C.
hasTrainingTrack
Indicates that an entity is associated with or assigned to a specific training track or program.
-
D.
hasTrainedAt
Indicates that an entity has received training, education, or instruction at a specified place or institution.
-
E.
hasCoachedCompetition
Indicates that one entity has served as a coach for another entity in the context of a specific competition or contest.
- 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_69f348fecc088190af1470afe5a969f0 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69fee335cb08819097e3a0e09d5ebf49 |
completed | May 9, 2026, 7:33 a.m. |
| PD | Predicate disambiguation | batch_69fee2c74fd88190acfc045ab07b7f6b |
completed | May 9, 2026, 7:31 a.m. |
Created at: May 1, 2026, 12:23 a.m.