Triple
T43850
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | France |
E861
|
entity |
| Predicate | UNESCOWorldHeritageSitesCountApprox |
P1171
|
FINISHED |
| Object | over 40 |
—
|
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: over 40 | Statement: [France, UNESCOWorldHeritageSitesCountApprox, over 40]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: UNESCOWorldHeritageSitesCountApprox Context triple: [France, UNESCOWorldHeritageSitesCountApprox, over 40]
-
A.
UNESCOWorldHeritageSitesCount
chosen
Indicates the number of UNESCO World Heritage Sites associated with a given entity.
-
B.
UNESCOWorldHeritageDesignationYear
Indicates the year in which a site was officially designated as a UNESCO World Heritage site.
-
C.
UNESCOWorldHeritageSiteId
Indicates that an entity is identified as a UNESCO World Heritage Site by a specific UNESCO World Heritage Site identifier.
-
D.
UNESCOWorldHeritageSiteContains
Indicates that a designated UNESCO World Heritage Site geographically includes or encompasses another place, feature, or entity within its boundaries.
-
E.
UNESCOWorldHeritageCriteria
Indicates that a site meets one or more of the official UNESCO World Heritage criteria used to justify its inscription on the World Heritage List.
- 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_69a247a8f6c08190bac804906d62ed5a |
completed | Feb. 28, 2026, 1:40 a.m. |
| NER | Named-entity recognition | batch_69a24c083ad081909c1122c8fb29efdc |
completed | Feb. 28, 2026, 1:59 a.m. |
| PD | Predicate disambiguation | batch_69a24aba9a2c81909f769a8f22e30c92 |
completed | Feb. 28, 2026, 1:54 a.m. |
Created at: Feb. 28, 2026, 1:46 a.m.