Triple
T37666148
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cap Kingdom |
E937822
|
entity |
| Predicate | worldCategory |
P40428
|
FINISHED |
| Object | early-game kingdom |
—
|
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: early-game kingdom | Statement: [Cap Kingdom, worldCategory, early-game kingdom]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: worldCategory Context triple: [Cap Kingdom, worldCategory, early-game kingdom]
-
A.
worldName
Indicates that an entity has or is associated with a specific world’s name.
-
B.
worldType
chosen
Indicates the classification or category of world or environment that an entity is associated with.
-
C.
featuresWorld
Indicates that something (such as a work, product, or system) includes, depicts, or is set within a particular world or environment.
-
D.
worldRegion
Indicates that one entity is a geographic region that encompasses, contains, or is associated with the other entity within the world.
-
E.
countryUniverse
Indicates that a country belongs to, is defined within, or is associated with a particular universe or overarching geopolitical framework.
- 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_69f76ed6df7c8190b018e5baea716ceb |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fef8c3f2388190b995ec173512945a |
completed | May 9, 2026, 9:05 a.m. |
| PD | Predicate disambiguation | batch_69fef65975608190960b78d27e806d4f |
completed | May 9, 2026, 8:54 a.m. |
Created at: May 3, 2026, 4:18 p.m.