Triple
T37443289
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Henley Passport Index |
E930475
|
entity |
| Predicate | hasFirstEdition |
P19469
|
FINISHED |
| Object | 2006 |
—
|
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: 2006 | Statement: [Henley Passport Index, hasFirstEdition, 2006]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFirstEdition Context triple: [Henley Passport Index, hasFirstEdition, 2006]
-
A.
isFirstEditionOf
Indicates that one entity is the original first published edition of another work or publication.
-
B.
hasFirstEditionYear
chosen
Indicates the year in which the first edition of an item (such as a work, book, or publication) was originally released or published.
-
C.
firstEditionType
Indicates that an entity is classified as a first edition of a work, specifying the type or category of that first edition.
-
D.
isEarliestCollectedEditionOf
Indicates that one edition of a work is the earliest (in time of collection or acquisition) among all collected editions of that work.
-
E.
firstEditionCategory
Indicates that an item belongs to a category specifically defined for its first edition.
- 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_69f76ec0b9488190b7a4fae632bd1d2f |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a005d878aec81908e1177914a8fb610 |
completed | May 10, 2026, 10:27 a.m. |
| PD | Predicate disambiguation | batch_6a005c382f8881908ff33ebb7f88c430 |
completed | May 10, 2026, 10:21 a.m. |
Created at: May 3, 2026, 4:17 p.m.