Triple
T16630553
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SDG |
E404066
|
entity |
| Predicate | subdivisionFactor |
P123641
|
FINISHED |
| Object | 100 |
—
|
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: 100 | Statement: [SDG, subdivisionFactor, 100]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: subdivisionFactor Context triple: [SDG, subdivisionFactor, 100]
-
A.
subdividedBy
Indicates that something is divided into smaller parts or sections by another entity or criterion.
-
B.
parallelSubdivision
Indicates that one structure or process is divided into multiple parts that proceed or are handled simultaneously alongside each other.
-
C.
isSubdividedAs
Indicates that something is divided into smaller parts, sections, or units that together constitute its subdivision structure.
-
D.
subdivisionRank
Indicates the hierarchical level or type of administrative or territorial subdivision that an entity occupies within a larger organizational or geographic structure.
-
E.
isSubdividedFrom
Indicates that one entity represents a subdivision or derived part that has been split off from another entity.
- F. None of above. chosen
Provenance (4 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_69d883897eb481909eaaa088ba9918d9 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e378e5d4448190bfb1b6157bbe5285 |
completed | April 18, 2026, 12:28 p.m. |
| PD | Predicate disambiguation | batch_69e296ad3f148190af09223dc35b155c |
completed | April 17, 2026, 8:23 p.m. |
| PDg | Predicate description generation | batch_69e2d7fb02f481908885a226c2191231 |
completed | April 18, 2026, 1:01 a.m. |
Created at: April 10, 2026, 5:17 a.m.