Triple
T9294175
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | S/1501 |
E223597
|
entity |
| Predicate | symbolFormat |
P5329
|
FINISHED |
| Object | S/[number] |
—
|
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: S/[number] | Statement: [S/1501, symbolFormat, S/[number]]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: symbolFormat Context triple: [S/1501, symbolFormat, S/[number]]
-
A.
symbolNumber
Indicates a relationship where a specific numerical identifier is assigned to or associated with a particular symbol.
-
B.
notationPattern
chosen
Indicates a recurring way in which something is symbolically represented or written, such as a consistent style or structure of notation used for an entity or concept.
-
C.
symbolText
Indicates that a symbol is associated with or represented by a specific piece of text.
-
D.
coordinateFormat
Indicates the specific representation or notation used to express a set of coordinates.
-
E.
primaryFormulaFormat
Indicates the main or default structural format in which a formula is represented or stored.
- 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_69ca8423edb08190bc0c91287a484768 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd089a2ed0819086b2e4219ff2453e |
completed | April 1, 2026, 11:59 a.m. |
| PD | Predicate disambiguation | batch_69cc7a5aeb748190afb89c6bbd2a6d6f |
completed | April 1, 2026, 1:52 a.m. |
Created at: March 30, 2026, 7:35 p.m.