Triple
T740921
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Global Innovation Index |
E15240
|
entity |
| Predicate | hasEditionStructure |
P841
|
FINISHED |
| Object | thematic chapters |
—
|
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: thematic chapters | Statement: [Global Innovation Index, hasEditionStructure, thematic chapters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasEditionStructure Context triple: [Global Innovation Index, hasEditionStructure, thematic chapters]
-
A.
numberOfEditions
Indicates the total count of distinct editions associated with a given entity.
-
B.
hasModernEditions
Indicates that an original work or text has one or more updated or contemporary published editions.
-
C.
hasStructureType
chosen
Indicates that an entity possesses or is classified by a specific structural type or configuration.
-
D.
editionNumber
Indicates the specific sequential number assigned to an edition of a work within its series of published versions.
-
E.
hasPrintVersion
Indicates that one entity exists or is available as a printed or physical edition of another entity.
- 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_69a49358aa308190adbc9b5a0a2adcf9 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a5f4ccb48190a4eb8679a59d8e24 |
completed | March 1, 2026, 8:47 p.m. |
| PD | Predicate disambiguation | batch_69a4a4fdaaf48190985f62acfc069508 |
completed | March 1, 2026, 8:43 p.m. |
Created at: March 1, 2026, 7:37 p.m.