Triple
T228297
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Latin-1 Supplement |
E4357
|
entity |
| Predicate | blockNumbering |
P3378
|
FINISHED |
| Object | follows Basic Latin block |
—
|
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: follows Basic Latin block | Statement: [Latin-1 Supplement, blockNumbering, follows Basic Latin block]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: blockNumbering Context triple: [Latin-1 Supplement, blockNumbering, follows Basic Latin block]
-
A.
numberingType
chosen
Indicates the scheme or style used to assign sequential numbers or labels within an ordered set.
-
B.
estimatedNumberOfBlocks
Indicates the approximate count of discrete blocks associated with or involved in the given entity or context.
-
C.
ordinalNumber
Indicates the position or rank of an entity within an ordered sequence (e.g., first, second, third).
-
D.
branchCount
Indicates the number of branches associated with a given entity or structure.
-
E.
titleNumber
Indicates the numerical designation or sequence number assigned to a title within an ordered set of titles.
- 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_69a257363ffc81909757bde7ab3404da |
completed | Feb. 28, 2026, 2:47 a.m. |
| NER | Named-entity recognition | batch_69a25d10ac248190a98dedabf5358668 |
completed | Feb. 28, 2026, 3:12 a.m. |
| PD | Predicate disambiguation | batch_69a25b5877588190af694d060377f027 |
completed | Feb. 28, 2026, 3:04 a.m. |
Created at: Feb. 28, 2026, 2:53 a.m.