Triple
T38585216
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Patch 2.1 – Black Temple |
E932330
|
entity |
| Predicate | introducedItemChanges |
P100259
|
FINISHED |
| Object | Itemization changes |
—
|
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: Itemization changes | Statement: [Patch 2.1 – Black Temple, introducedItemChanges, Itemization changes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: introducedItemChanges Context triple: [Patch 2.1 – Black Temple, introducedItemChanges, Itemization changes]
-
A.
introducedItemType
Indicates that an entity has brought a particular type of item into existence, use, or consideration within a given context.
-
B.
merchandiseChange
Indicates a change in the type, quantity, or status of merchandise associated with an entity or transaction.
-
C.
updateIntroduced
chosen
Indicates that a change or modification was newly added or introduced to an existing entity or system.
-
D.
featureChange
Indicates a modification in the properties, characteristics, or attributes of an entity between two states or points in time.
-
E.
notableChange
Indicates a significant alteration or shift in the state, condition, or characteristics of an entity or relationship.
- F. None of above.
Provenance (3 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_69f76ec654d48190b421111cf26e54d9 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69ff2fbae9b48190847eefa1c227d43e |
completed | May 9, 2026, 12:59 p.m. |
| PD | Predicate disambiguation | batch_69ff2f2218048190a32224a648182b5d |
completed | May 9, 2026, 12:57 p.m. |
Created at: May 3, 2026, 4:32 p.m.