Triple
T18721988
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carousel Form II |
E457797
|
entity |
| Predicate | titleSequenceIndicator |
P7922
|
FINISHED |
| Object | II |
—
|
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: II | Statement: [Carousel Form II, titleSequenceIndicator, II]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: titleSequenceIndicator Context triple: [Carousel Form II, titleSequenceIndicator, II]
-
A.
consecutiveTitleNumber
Indicates that one entity’s title number immediately follows another’s in a sequential ordering.
-
B.
titleNumber
chosen
Indicates the numerical designation or sequence number assigned to a title within an ordered set of titles.
-
C.
titleStart
Indicates that one entity’s title begins with the text or substring represented by the other entity.
-
D.
titleThrough
Indicates a relationship where one entity holds or is identified by a specific title by means of, or via the mediation of, another entity or context.
-
E.
titlePattern
Indicates that there is a specific structural or textual pattern that the title of an entity is expected to follow.
- 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_69d8d393ba9c8190a8b03b04ddbb0a09 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e56abadca08190ab1e699b7dcc0c4d |
completed | April 19, 2026, 11:52 p.m. |
| PD | Predicate disambiguation | batch_69e478e0889c8190a118d67b200ce8ef |
completed | April 19, 2026, 6:40 a.m. |
Created at: April 10, 2026, 11:50 a.m.