Triple
T24747765
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Lost King of Oz |
E619048
|
entity |
| Predicate | numberInThompsonSubseries |
P61667
|
FINISHED |
| Object | 5 |
—
|
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: 5 | Statement: [The Lost King of Oz, numberInThompsonSubseries, 5]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberInThompsonSubseries Context triple: [The Lost King of Oz, numberInThompsonSubseries, 5]
-
A.
numberOfSeries
Indicates the total count of distinct series associated with or contained within a given entity.
-
B.
seriesNumberInCarryOn
Indicates that an item has a specific series or sequence number within a set of carry-on items.
-
C.
thirdSeriesCode
Indicates that an entity is associated with a specific code identifying its third series or third-level sequence within a set or classification.
-
D.
hasSeriesNumber
chosen
Indicates that an entity is assigned a specific ordinal or sequence number within a series or ordered set.
-
E.
isThirdInSeries
Indicates that an entity occupies the third position within an ordered sequence or series of related items.
- 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_69e2fabb349881908a13a212a0221a63 |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f6135293908190809e255bf6334760 |
completed | May 2, 2026, 3:08 p.m. |
| PD | Predicate disambiguation | batch_69f611a72780819082f44e66ca2c6ac9 |
completed | May 2, 2026, 3 p.m. |
Created at: April 18, 2026, 4:23 a.m.