Triple
T37554243
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bindings of the Windseeker |
E933655
|
entity |
| Predicate | tooltipCategory |
P188280
|
FINISHED |
| Object | Legendary |
—
|
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: Legendary | Statement: [Bindings of the Windseeker, tooltipCategory, Legendary]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tooltipCategory Context triple: [Bindings of the Windseeker, tooltipCategory, Legendary]
-
A.
cornerCategory
Indicates that something is classified as belonging to a specific type or category of corner.
-
B.
badgeCategory
Indicates the classification or type group to which a particular badge belongs.
-
C.
headerCategory
Indicates that one entity serves as a categorical grouping or classification for the header or heading represented by the other entity.
-
D.
labelCatalog
Indicates assigning or associating a descriptive label or identifier with a catalog entity or catalog entry.
-
E.
componentCategory
Indicates that one entity is classified as belonging to a particular component category of another entity.
- 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_69f76eca55bc8190acf25741793d5dac |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fba5eec0448190a5e6f0c43fdcd0e3 |
completed | May 6, 2026, 8:34 p.m. |
| PD | Predicate disambiguation | batch_69fba34edd548190bfa980e6e16e0a88 |
completed | May 6, 2026, 8:23 p.m. |
| PDg | Predicate description generation | batch_69fba5ee00fc81909be7b947a3f95034 |
completed | May 6, 2026, 8:34 p.m. |
Created at: May 3, 2026, 4:17 p.m.