Triple
T37515109
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Templar |
E932613
|
entity |
| Predicate | startingAreaTheme |
P187803
|
FINISHED |
| Object | faith and righteousness |
—
|
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: faith and righteousness | Statement: [Templar, startingAreaTheme, faith and righteousness]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: startingAreaTheme Context triple: [Templar, startingAreaTheme, faith and righteousness]
-
A.
previousAreaTheme
Indicates that one area’s theme directly precedes another area’s theme in a sequence or progression.
-
B.
startTheme
Indicates the action of initiating or activating a particular theme or thematic mode.
-
C.
parkSectionTheme
Indicates that a particular section of a park is associated with a specific thematic concept or style.
-
D.
previousThemeParkArea
Indicates that one theme park area directly preceded another in time or sequence within the park’s development or layout.
-
E.
zoneTheme
chosen
Indicates that a particular zone or area is associated with, or characterized by, a specific theme or thematic setting.
- 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_69f76ec730988190b5aa4f9cb9afd518 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a01185c46f0819089b4a2ad3c3e2f33 |
completed | May 10, 2026, 11:44 p.m. |
| PD | Predicate disambiguation | batch_6a0117e19e008190870663dd45084416 |
completed | May 10, 2026, 11:42 p.m. |
Created at: May 3, 2026, 4:17 p.m.