Triple
T29142634
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Barony of Mejis |
E738676
|
entity |
| Predicate | roleInRolandLife |
P198213
|
FINISHED |
| Object | site of Roland’s first ka-tet mission away from Gilead |
—
|
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: site of Roland’s first ka-tet mission away from Gilead | Statement: [Barony of Mejis, roleInRolandLife, site of Roland’s first ka-tet mission away from Gilead]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInRolandLife Context triple: [Barony of Mejis, roleInRolandLife, site of Roland’s first ka-tet mission away from Gilead]
-
A.
roleOfCharacter
Indicates that one entity serves as the narrative or functional role played by a character within a story, scenario, or context.
-
B.
roleInModelland
Indicates that an entity has a specific role or function within a defined model or modeling framework.
-
C.
roleInTheWay
Indicates that one entity is obstructing, hindering, or otherwise blocking another entity’s progress, action, or intended path.
-
D.
roleInName
Indicates that a specific role, title, or position is included as part of an entity’s name or naming expression.
-
E.
roleInGameplay
Indicates the specific function or responsibility an entity has within the context of gameplay or game mechanics.
- 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_69f07cb3adb48190a9e0e169cd026634 |
completed | April 28, 2026, 9:24 a.m. |
| NER | Named-entity recognition | batch_69fed357b2b4819084c709056a54461f |
completed | May 9, 2026, 6:25 a.m. |
| PD | Predicate disambiguation | batch_69fed103d9cc81909b11619745110c61 |
completed | May 9, 2026, 6:15 a.m. |
| PDg | Predicate description generation | batch_69fed3569ca881909f4291baeb665d9d |
completed | May 9, 2026, 6:25 a.m. |
Created at: April 28, 2026, 11:37 a.m.