Triple
T37665018
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pigstep music disc |
E937800
|
entity |
| Predicate | hasLanguageKey |
P201355
|
FINISHED |
| Object | item.minecraft.music_disc_pigstep |
—
|
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: item.minecraft.music_disc_pigstep | Statement: [Pigstep music disc, hasLanguageKey, item.minecraft.music_disc_pigstep]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLanguageKey Context triple: [Pigstep music disc, hasLanguageKey, item.minecraft.music_disc_pigstep]
-
A.
hasLanguageType
Indicates that an entity is associated with a particular type or category of language (e.g., spoken, written, programming, sign).
-
B.
hasLanguageOn
Indicates that an entity uses or is associated with a particular language in a specific context, medium, or location.
-
C.
hasLanguageRepresentation
Indicates that an entity is expressed, encoded, or represented using a particular natural or formal language.
-
D.
hasTermLanguage
Indicates that a given term is expressed or defined in a particular language.
-
E.
hasLanguageStatus
Indicates that an entity has a particular status or condition regarding its language use, recognition, or classification.
- 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_69ffecdcbac4819093b725a7dbe0e61b |
completed | May 10, 2026, 2:26 a.m. |
| PD | Predicate disambiguation | batch_69ffec3633288190adbbd84e277708dc |
completed | May 10, 2026, 2:23 a.m. |
| PDg | Predicate description generation | batch_69ffecdbe62081909f901e7d4db69d60 |
completed | May 10, 2026, 2:26 a.m. |
Created at: May 3, 2026, 4:18 p.m.