Triple
T81526
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Half-Earth: Our Planet’s Fight for Life |
E1637
|
entity |
| Predicate | pageCountApproximate |
P1468
|
FINISHED |
| Object | 250–300 |
—
|
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: 250–300 | Statement: [Half-Earth: Our Planet’s Fight for Life, pageCountApproximate, 250–300]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: pageCountApproximate Context triple: [Half-Earth: Our Planet’s Fight for Life, pageCountApproximate, 250–300]
-
A.
pages
chosen
Indicates that one entity consists of or contains a certain number of pages, or that a specific page-related attribute is associated with it.
-
B.
numberOfChapters
Indicates the total count of chapters associated with a given entity.
-
C.
passengersCountApproximate
Indicates that the number of passengers involved is given as an approximate or estimated count rather than an exact figure.
-
D.
documentNumber
Indicates the unique identifying number assigned to a specific document in the relationship.
-
E.
articleCount
Indicates the number of articles associated with a given entity or context.
- 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_69a24c60d19c8190a1b6c105ca59ef5b |
completed | Feb. 28, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69a25053ca208190a371b0d38000c2b9 |
completed | Feb. 28, 2026, 2:17 a.m. |
| PD | Predicate disambiguation | batch_69a24eb2998c819082681da74601d446 |
completed | Feb. 28, 2026, 2:10 a.m. |
Created at: Feb. 28, 2026, 2:06 a.m.