Triple
T8435951
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lunar: The Silver Star |
E199222
|
entity |
| Predicate | hasWorldMap |
P83357
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Lunar: The Silver Star, hasWorldMap, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasWorldMap Context triple: [Lunar: The Silver Star, hasWorldMap, yes]
-
A.
hasWorld
Indicates that an entity possesses, is associated with, or encompasses a particular world or global context.
-
B.
hasWorldStructure
Indicates that an entity possesses or is characterized by a particular overall world-level organization, framework, or structural configuration.
-
C.
hasViewOnWorld
Indicates that an entity holds a particular perspective, opinion, or interpretation regarding the world or reality as a whole.
-
D.
isOnSystemMap
Indicates that an entity is currently displayed or represented on a particular system map.
-
E.
hasGlobalRegion
Indicates that an entity is associated with or belongs to a specific global geographic region.
- 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_69ca8314cd6c8190a6b8c2a1096e18f3 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe30fba4081908bfdef3faf5baceb |
completed | March 31, 2026, 3:06 p.m. |
| PD | Predicate disambiguation | batch_69cbd0ec200c8190b0299e2b0b4bdcc2 |
completed | March 31, 2026, 1:49 p.m. |
| PDg | Predicate description generation | batch_69cbe30c2d088190b4cb89adb4e88273 |
completed | March 31, 2026, 3:06 p.m. |
Created at: March 30, 2026, 6:08 p.m.