Triple
T37662610
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Potion of Water Breathing |
E937748
|
entity |
| Predicate | tooltipText |
P189103
|
FINISHED |
| Object | Water Breathing |
—
|
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: Water Breathing | Statement: [Potion of Water Breathing, tooltipText, Water Breathing]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tooltipText Context triple: [Potion of Water Breathing, tooltipText, Water Breathing]
-
A.
tooltipCategory
Indicates the category or type under which a tooltip is grouped or classified.
-
B.
leafTip
Indicates that one entity is the tip or terminal end of a leaf associated with another entity.
-
C.
tipType
Indicates the specific category or kind of tip associated with an action, event, or interaction.
-
D.
badgeText
Indicates that a visual badge or label is associated with an entity, displaying specific text content.
-
E.
ariaTitle
Indicates that one entity serves as the accessible ARIA title or label text that describes another entity’s purpose or content for assistive technologies.
- 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_69f76ed6df7c8190b018e5baea716ceb |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fbb084760c8190a1554985d3c3cb7a |
completed | May 6, 2026, 9:20 p.m. |
| PD | Predicate disambiguation | batch_69fbadf3cb548190ba3b7514f76b790a |
completed | May 6, 2026, 9:09 p.m. |
| PDg | Predicate description generation | batch_69fbb083ab708190a18b045311106f27 |
completed | May 6, 2026, 9:20 p.m. |
Created at: May 3, 2026, 4:18 p.m.