Triple
T21081953
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Queen of Carthage |
E519390
|
entity |
| Predicate | hasCanonicalStoryline |
P123615
|
FINISHED |
| Object | foundation of Carthage and tragic death |
—
|
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: foundation of Carthage and tragic death | Statement: [Queen of Carthage, hasCanonicalStoryline, foundation of Carthage and tragic death]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCanonicalStoryline Context triple: [Queen of Carthage, hasCanonicalStoryline, foundation of Carthage and tragic death]
-
A.
hasStorylineType
Indicates that an entity’s storyline belongs to or is categorized under a specific type or narrative classification.
-
B.
hasStoryPath
Indicates that there exists a defined narrative route or sequence of events connecting one entity to another within a story or interactive experience.
-
C.
storyCanonStatus
chosen
Indicates the canonical status of a story relative to an official or primary continuity.
-
D.
hasVariantStoriesIn
Indicates that an entity has alternative or differing narrative versions that occur or are found within a specified context or source.
-
E.
hasZoneStoryline
Indicates that a zone or area is associated with a specific overarching storyline or narrative arc.
- 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_69e0b506e59c8190849b71ed07929215 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e702db430c81908a1547d8fbe45506 |
completed | April 21, 2026, 4:53 a.m. |
| PD | Predicate disambiguation | batch_69e5dbfcd5e881908f1e4e0d2d237856 |
completed | April 20, 2026, 7:55 a.m. |
Created at: April 16, 2026, 2:49 p.m.