Triple
T8507964
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Valee (self-titled EP) |
E201381
|
entity |
| Predicate | hasLengthType |
P74944
|
FINISHED |
| Object | short-form release |
—
|
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: short-form release | Statement: [Valee (self-titled EP), hasLengthType, short-form release]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLengthType Context triple: [Valee (self-titled EP), hasLengthType, short-form release]
-
A.
hasLengthRange
Indicates that an entity’s length falls within a specified minimum-to-maximum range.
-
B.
hasFieldLength
Indicates that an entity possesses a field whose length (such as number of characters or size) is specified or constrained.
-
C.
hasStringType
Indicates that an entity is associated with, defined by, or constrained to a specific string data type.
-
D.
hasVariableLength
chosen
Indicates that the related entity can vary in size, duration, or extent rather than having a fixed, constant length.
-
E.
hasNumberOfTypes
Indicates that an entity is associated with a specific count of distinct types or categories it possesses or includes.
- 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_69ca8320e5748190ac2c585a0bba8193 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe5de18448190a695eec609b34e1a |
completed | March 31, 2026, 3:18 p.m. |
| PD | Predicate disambiguation | batch_69cbd10cfd208190a519049fad32c508 |
completed | March 31, 2026, 1:50 p.m. |
Created at: March 30, 2026, 6:14 p.m.