Triple
T19186839
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A safe operating space for humanity |
E469722
|
entity |
| Predicate | hasPageStart |
P16909
|
FINISHED |
| Object | 472 |
—
|
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: 472 | Statement: [A safe operating space for humanity, hasPageStart, 472]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPageStart Context triple: [A safe operating space for humanity, hasPageStart, 472]
-
A.
hasPage
chosen
Indicates that one entity includes, is associated with, or is documented by a specific page (such as a web page or document page).
-
B.
hasPageRange
Indicates that one entity (such as a document section or article) spans a specific, continuous range of pages in another entity (such as a publication or volume).
-
C.
hasStageStart
Indicates that a process, event, or workflow begins or enters a particular stage at a specified point or condition.
-
D.
hasPageCountApprox
Indicates that an entity is associated with an approximate or estimated number of pages, rather than an exact page count.
-
E.
hasPageRangeInMushaf
Indicates that a text segment spans a specific range of pages within a particular mushaf (written copy of the Quran).
- 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_69d8dd0ad9088190a173b32657ae2e7a |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5f620f1f08190a0daaf0d1483d724 |
completed | April 20, 2026, 9:47 a.m. |
| PD | Predicate disambiguation | batch_69e4b9bb158481909478ca2e06f3ba39 |
completed | April 19, 2026, 11:17 a.m. |
Created at: April 10, 2026, 12:07 p.m.