Triple
T16526067
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Last Bus to Woodstock |
E401439
|
entity |
| Predicate | hasInspectorMorseNovelNumber |
P123892
|
FINISHED |
| Object | 1 |
—
|
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: 1 | Statement: [Last Bus to Woodstock, hasInspectorMorseNovelNumber, 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasInspectorMorseNovelNumber Context triple: [Last Bus to Woodstock, hasInspectorMorseNovelNumber, 1]
-
A.
hasMorseForN
Indicates a relationship where an entity is associated with the Morse code representation corresponding to the letter "N".
-
B.
isLastPublishedNovelOf
Indicates that one entity is the most recently published novel authored by another entity.
-
C.
isOnlyNovelBy
Indicates that the referenced work is the sole novel created by the specified author or creator.
-
D.
hasNovelization
Indicates that a work has been adapted into a novel or prose narrative form.
-
E.
hasMorseForT
Indicates that something corresponds to or represents the Morse code pattern for the letter "T".
- F. None of above. chosen
Provenance (4 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_69d883838abc8190bc79cb2d41733ce2 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e32ed3f0388190a9f03473c37dfc46 |
completed | April 18, 2026, 7:12 a.m. |
| PD | Predicate disambiguation | batch_69e296995d388190b88ebe189dce890d |
completed | April 17, 2026, 8:22 p.m. |
| PDg | Predicate description generation | batch_69e2d7f97e548190a474691a152bd8e8 |
completed | April 18, 2026, 1:01 a.m. |
Created at: April 10, 2026, 5:14 a.m.