Triple
T36418137
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Letter 20 |
E897070
|
entity |
| Predicate | hasTitleSeriesNumber |
P61667
|
FINISHED |
| Object | 20 |
—
|
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: 20 | Statement: [Letter 20, hasTitleSeriesNumber, 20]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTitleSeriesNumber Context triple: [Letter 20, hasTitleSeriesNumber, 20]
-
A.
hasSeriesNumber
chosen
Indicates that an entity is assigned a specific ordinal or sequence number within a series or ordered set.
-
B.
isTitleSeriesOf
Indicates that one entity is the title or name associated with a particular series (such as a book, film, or media franchise).
-
C.
consecutiveTitleNumber
Indicates that one entity’s title number immediately follows another’s in a sequential ordering.
-
D.
seriesTitleElement
Indicates that the value represents a component or segment of the title of a series to which a resource belongs.
-
E.
designationSeries
Indicates that one designation belongs to or is part of a broader series of related designations.
- 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_69f76e54ce408190849acc3f7758937c |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fe189fec148190aeef51b417ba15b0 |
completed | May 8, 2026, 5:08 p.m. |
| PD | Predicate disambiguation | batch_69fe17285b0881908de7569d8dbd20bd |
completed | May 8, 2026, 5:02 p.m. |
Created at: May 3, 2026, 4:10 p.m.