Triple
T37507224
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Desmotaeron |
E932126
|
entity |
| Predicate | hasContentTier |
P91059
|
FINISHED |
| Object | high-level |
—
|
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: high-level | Statement: [Desmotaeron, hasContentTier, high-level]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasContentTier Context triple: [Desmotaeron, hasContentTier, high-level]
-
A.
hasTierStructure
Indicates that something is organized into distinct hierarchical levels or layers within a structured system.
-
B.
hasAccessTier
chosen
Indicates that one entity is assigned or associated with a specific level or tier of access permissions to another entity or resource.
-
C.
hasInteriorContentType
Indicates that something contains internal material or content of a specified type.
-
D.
hasUpperTier
Indicates that one entity occupies a higher or superior level, rank, or layer in a hierarchical structure relative to another entity.
-
E.
hasTarContent
Indicates that something contains or is characterized by a certain amount or presence of tar.
- 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_69f76ec5268481909ea01c73aeeefd42 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a037c8efcd4819088c2aeead65d93df |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a1553e08190bb7424c448cb1f33 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:17 p.m.