Triple
T35009150
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lionheart: Legacy of the Crusader |
E1009899
|
entity |
| Predicate | hasQuestStructure |
P134317
|
FINISHED |
| Object | main quests |
—
|
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: main quests | Statement: [Lionheart: Legacy of the Crusader, hasQuestStructure, main quests]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasQuestStructure Context triple: [Lionheart: Legacy of the Crusader, hasQuestStructure, main quests]
-
A.
hasQuestElement
Indicates that something is a component, step, or requirement that forms part of a larger quest or mission.
-
B.
hasQuestContentIn
Indicates that a quest’s narrative or objectives are contained within or associated with a particular location, context, or container.
-
C.
haveStructure
chosen
Indicates that an entity possesses a particular internal organization, arrangement, or structural composition.
-
D.
hasMissionIn
Indicates that an entity carries out, undertakes, or is assigned a mission within a specified location or region.
-
E.
hasQualificationStructure
Indicates that an entity is associated with a specific configuration or pattern of qualifications (e.g., degrees, certifications, or credentials) that define how those qualifications are organized or structured.
- 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_69f76dcb716881909f75e4fd60ab2284 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f78ce78b508190955848e133398dc8 |
completed | May 3, 2026, 5:59 p.m. |
| PD | Predicate disambiguation | batch_69f78b8f4cc08190b49fccd798cb25d7 |
completed | May 3, 2026, 5:53 p.m. |
Created at: May 3, 2026, 4:01 p.m.