Triple
T9068667
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ISWC |
E217306
|
entity |
| Predicate | dataElementsInclude |
P11236
|
FINISHED |
| Object | title of work |
—
|
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: title of work | Statement: [ISWC, dataElementsInclude, title of work]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dataElementsInclude Context triple: [ISWC, dataElementsInclude, title of work]
-
A.
usesElementsOf
Indicates that one entity incorporates, applies, or draws upon components, principles, or features derived from another entity.
-
B.
includedWith
Indicates that one entity is provided or packaged together as part of another entity.
-
C.
includesElement
chosen
Indicates that one collection, set, or structure contains a specified element as a member or component.
-
D.
usesElement
Indicates that one entity makes use of, incorporates, or depends on a specified element in its structure, function, or behavior.
-
E.
textsIncludedIn
Indicates that certain texts are contained within, or form a subset of, a larger collection or body of texts.
- 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_69ca83d5a7f48190b16c1e59bd43ede0 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc955ba250819085fa49e0059d06c1 |
completed | April 1, 2026, 3:47 a.m. |
| PD | Predicate disambiguation | batch_69cc65f881248190bfd220bb28a9fb5f |
completed | April 1, 2026, 12:25 a.m. |
Created at: March 30, 2026, 7:11 p.m.