Triple
T38585230
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Patch 2.1 – Black Temple |
E932330
|
entity |
| Predicate | addedContentType |
P101342
|
FINISHED |
| Object | raid content |
—
|
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: raid content | Statement: [Patch 2.1 – Black Temple, addedContentType, raid content]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: addedContentType Context triple: [Patch 2.1 – Black Temple, addedContentType, raid content]
-
A.
addsContentType
chosen
Indicates that one entity augments or associates another entity with a specific content type.
-
B.
hasContentType
Indicates that an entity is associated with or classified by a specific type of content.
-
C.
expansionContentType
Indicates the type or category of content that is revealed or added when something is expanded.
-
D.
producedContentType
Indicates that an entity has created or generated content of a specified type or format.
-
E.
inscriptionContentType
Indicates the type or nature of the content conveyed by an inscription (e.g., its genre, function, or informational category).
- 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_69fcdfbc71c481908ba7f87907b17782 |
completed | May 7, 2026, 6:53 p.m. |
| PD | Predicate disambiguation | batch_69fcdbe580b8819087f143596b2c79c0 |
completed | May 7, 2026, 6:37 p.m. |
Created at: May 3, 2026, 4:32 p.m.