Triple
T35694515
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yokuda |
E1031396
|
entity |
| Predicate | successorRegionForSurvivors |
P201847
|
FINISHED |
| Object | Hammerfell |
—
|
NE NERFINISHED |
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: Hammerfell | Statement: [Yokuda, successorRegionForSurvivors, Hammerfell]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: successorRegionForSurvivors Context triple: [Yokuda, successorRegionForSurvivors, Hammerfell]
-
A.
successorInRegion
Indicates that one entity directly follows or replaces another within a specified region or jurisdiction.
-
B.
survivorRegion
Indicates the geographic region or area in which a survivor is located or associated.
-
C.
successorArea
Indicates that one area directly follows or replaces another area in a defined sequence, progression, or versioning of areas.
-
D.
successorPopulation
Indicates that one population directly follows or replaces another population in a temporal or sequential order.
-
E.
successorColony
Indicates that one colony directly follows and replaces another colony as its historical or political successor.
- 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_69f76e0c73ec819080ab60a9e2f5f1f6 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_6a002962f6e081909906d6436bae6407 |
completed | May 10, 2026, 6:44 a.m. |
| PD | Predicate disambiguation | batch_6a00284c9c7c8190a77f18a41eee55df |
completed | May 10, 2026, 6:40 a.m. |
| PDg | Predicate description generation | batch_6a00296249d48190b2de7af946126eaf |
completed | May 10, 2026, 6:44 a.m. |
Created at: May 3, 2026, 4:05 p.m.