Triple
T10812795
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lost Laysen |
E255143
|
entity |
| Predicate | hasPages |
P9415
|
FINISHED |
| Object | approximately 128 |
—
|
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: approximately 128 | Statement: [Lost Laysen, hasPages, approximately 128]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPages Context triple: [Lost Laysen, hasPages, approximately 128]
-
A.
hasPage
Indicates that one entity includes, is associated with, or is documented by a specific page (such as a web page or document page).
-
B.
hasPageCountApprox
chosen
Indicates that an entity is associated with an approximate or estimated number of pages, rather than an exact page count.
-
C.
hasPageMedium
Indicates that a page or document is associated with a particular physical or digital medium through which it is presented or stored.
-
D.
supportsPagination
Indicates that the subject provides or is compatible with dividing content or results into discrete pages that can be navigated sequentially.
-
E.
hasDiscussionPages
Indicates that an entity is associated with one or more pages where discussions or conversations about it take place.
- 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_69d6aa61c15c8190a1839550c56e75e1 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d733eadda48190b2b1183ee60102cb |
completed | April 9, 2026, 5:06 a.m. |
| PD | Predicate disambiguation | batch_69d70d1bf3648190b36fa96ea018e0dc |
completed | April 9, 2026, 2:21 a.m. |
Created at: April 8, 2026, 9:18 p.m.