Triple
T16477885
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ai |
E400234
|
entity |
| Predicate | appearsInTextSection |
P64119
|
FINISHED |
| Object | Joshua 7 |
—
|
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: Joshua 7 | Statement: [Ai, appearsInTextSection, Joshua 7]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: appearsInTextSection Context triple: [Ai, appearsInTextSection, Joshua 7]
-
A.
canonicalTextSection
Indicates that one text section is the authoritative or standard version associated with another representation or variant of that section.
-
B.
appliesToSectionOf
Indicates that something is relevant or applicable specifically to a particular section or subsection of a larger whole.
-
C.
appearsInSectionOfWork
chosen
Indicates that one entity is contained within or shows up in a specific section or part of a larger work.
-
D.
hasSectionIn
Indicates that one entity contains or includes another entity as a section or subdivision within it.
-
E.
isOpeningSectionOf
Indicates that one content segment functions as the initial or introductory section of another, larger work or structure.
- 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_69d883813098819084f5409539723b59 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e32e0013ac8190b607d5f47d17c501 |
completed | April 18, 2026, 7:08 a.m. |
| PD | Predicate disambiguation | batch_69e22706b0588190a48a951c5211a617 |
completed | April 17, 2026, 12:26 p.m. |
Created at: April 10, 2026, 5:13 a.m.