Triple
T14532963
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rebel Railroad |
E340960
|
entity |
| Predicate | hadTheme |
P20708
|
FINISHED |
| Object | Confederate-themed experience |
—
|
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: Confederate-themed experience | Statement: [Rebel Railroad, hadTheme, Confederate-themed experience]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hadTheme Context triple: [Rebel Railroad, hadTheme, Confederate-themed experience]
-
A.
hadCustom
Indicates that an entity previously possessed or was associated with a customized or user-defined version of something.
-
B.
hasThemeSong
Indicates that an entity is associated with or characterized by a particular theme song.
-
C.
themedAs
chosen
Indicates that something is characterized, styled, or organized according to a particular theme or motif.
-
D.
hasThemeInStory
Indicates that a particular theme is present or plays a significant role within a given story.
-
E.
theme
Indicates the entity that is the primary participant or content affected or characterized by an action, event, or state.
- 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_69d822dac79c8190a84a073f3cbaced5 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dea053f9bc8190901b9d321811d881 |
completed | April 14, 2026, 8:15 p.m. |
| PD | Predicate disambiguation | batch_69de5c546c7081909e27d504ec360c5c |
completed | April 14, 2026, 3:25 p.m. |
Created at: April 10, 2026, 1:22 a.m.