Triple
T27209262
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tintin in the Congo |
E683953
|
entity |
| Predicate | hasParatextWarningInSomeEditions |
P44720
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Tintin in the Congo, hasParatextWarningInSomeEditions, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasParatextWarningInSomeEditions Context triple: [Tintin in the Congo, hasParatextWarningInSomeEditions, yes]
-
A.
includesParatext
chosen
Indicates that one entity contains or is accompanied by paratextual material (such as prefaces, notes, or other supplementary text) related to another entity.
-
B.
laterEditionParatext
Indicates that the paratext is taken from or associated with a later edition of the work than the primary text or base edition under consideration.
-
C.
hasDifferentEditions
Indicates that an entity exists in multiple distinct versions or editions that differ in some characteristics.
-
D.
hasParallelCitation
Indicates that one legal case or document is cited in multiple sources or reporters that refer to the same underlying authority.
-
E.
hasEditionIn
Indicates that one entity has a specific edition or version that exists or is available in another entity (such as a particular format, language, or location).
- 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_69eefad339a08190aeacb2a198f1a39b |
completed | April 27, 2026, 5:57 a.m. |
| NER | Named-entity recognition | batch_69f78c61ed4c8190ad84c918fa9af55a |
completed | May 3, 2026, 5:56 p.m. |
| PD | Predicate disambiguation | batch_69f78b8cb3a881909ebaac1b503988c2 |
completed | May 3, 2026, 5:53 p.m. |
Created at: April 27, 2026, 9:39 a.m.