Triple
T25438630
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kshitij |
E637441
|
entity |
| Predicate | hasWorkshopOn |
P42933
|
FINISHED |
| Object | emerging technologies |
—
|
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: emerging technologies | Statement: [Kshitij, hasWorkshopOn, emerging technologies]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasWorkshopOn Context triple: [Kshitij, hasWorkshopOn, emerging technologies]
-
A.
hasWorkshopsAt
Indicates that an entity conducts, hosts, or offers workshops at a specified location or venue.
-
B.
hasWorkshops
chosen
Indicates that one entity offers, hosts, or is associated with one or more workshops for another entity.
-
C.
notableWorkshop
Indicates that an entity is a workshop distinguished by particular significance, prominence, or recognition (e.g., in impact, reputation, or importance).
-
D.
workshopInTitleIndicates
Indicates that the presence of the word "workshop" in a title signifies that the associated event, session, or item is a workshop.
-
E.
workshopMark
Indicates that an entity has been designated, labeled, or flagged in the context of a workshop-related process or activity.
- 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_69e75db6c97081908178383fa632b193 |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f68805b4848190b75da14996d52a38 |
completed | May 2, 2026, 11:25 p.m. |
| PD | Predicate disambiguation | batch_69f68609c0b08190a8e1238a4d97c270 |
completed | May 2, 2026, 11:17 p.m. |
Created at: April 21, 2026, 2 p.m.