Triple
T7002233
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CH-LU |
E162362
|
entity |
| Predicate | separatorCharacter |
P35670
|
FINISHED |
| Object | - |
—
|
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: - | Statement: [CH-LU, separatorCharacter, -]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: separatorCharacter Context triple: [CH-LU, separatorCharacter, -]
-
A.
alternativeDelimiters
Indicates a relationship where one or more substitute boundary markers are used in place of the primary delimiters for separating or enclosing elements.
-
B.
separatesBy
Indicates that one entity divides, partitions, or creates a boundary between two or more other entities.
-
C.
blockDelimiter
Indicates that one entity serves as a boundary marker that starts, ends, or separates a logical block associated with another entity.
-
D.
capturesCharacter
Indicates that one entity seizes, traps, or takes control of another character.
-
E.
thousandsSeparator
chosen
Indicates the character or symbol used to visually separate groups of three digits in large numbers for readability.
- 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_69c68857ffc08190857dc62cd5253777 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6dc1115c48190a9363473ae21b6c1 |
completed | March 27, 2026, 7:35 p.m. |
| PD | Predicate disambiguation | batch_69c6d7c67c94819084fdcf0398606027 |
completed | March 27, 2026, 7:17 p.m. |
Created at: March 27, 2026, 2:33 p.m.