Triple
T38418896
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ram I |
E903173
|
entity |
| Predicate | primaryUseTheatre |
P204645
|
FINISHED |
| Object | training in Canada |
—
|
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: training in Canada | Statement: [Ram I, primaryUseTheatre, training in Canada]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryUseTheatre Context triple: [Ram I, primaryUseTheatre, training in Canada]
-
A.
primaryTheater
Indicates that a particular location or region is the main setting or principal area where an event, activity, or operation takes place.
-
B.
primaryTheaterFocus
Indicates that one entity is the main geographic or operational theater in which the other entity concentrates its activities, resources, or attention.
-
C.
usedInTheatre
Indicates that something is employed or applied within the context of a theatre or theatrical production.
-
D.
usedTheatreFrom
Indicates that one entity made use of or operated within a particular theatre (such as a theater building, venue, or performance space) during some period or context.
-
E.
intendedTheatre
Indicates a relationship where an entity is planned, designed, or meant to be performed, shown, or take place in a particular theatre.
- F. None of above. chosen
Provenance (4 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_69f76e67e4fc8190a7d08dfe9a8af998 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_6a037cae084081909004d77514c5f286 |
completed | May 12, 2026, 7:17 p.m. |
| PD | Predicate disambiguation | batch_6a037a1c850c819088795a7ae59bdeb8 |
completed | May 12, 2026, 7:06 p.m. |
| PDg | Predicate description generation | batch_6a037c84ecbc81908232e5215355f43b |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 3, 2026, 4:31 p.m.