Triple
T16875641
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Miss Froy |
E421291
|
entity |
| Predicate | settingOfDisappearance |
P19453
|
FINISHED |
| Object | trans-European train |
—
|
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: trans-European train | Statement: [Miss Froy, settingOfDisappearance, trans-European train]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: settingOfDisappearance Context triple: [Miss Froy, settingOfDisappearance, trans-European train]
-
A.
placeOfDisappearance
chosen
Indicates the location where an entity was last seen or went missing.
-
B.
disappearanceOf
Indicates that one entity ceases to exist, be present, or be observable in relation to another entity, context, or time.
-
C.
intendedDestinationAtTimeOfDisappearance
Indicates the location or place an entity was planning to go to at the specific time when it disappeared.
-
D.
disappearance
Indicates that an entity ceases to be present, visible, or detectable in a given context or location.
-
E.
disappearanceCause
Indicates the reason or factor that led to an entity’s disappearance.
- 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_69d889d470fc8190b4aec199636c0c56 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e3b7f646308190b5e277b5f51cd315 |
completed | April 18, 2026, 4:57 p.m. |
| PD | Predicate disambiguation | batch_69e32b90ec3c819099c51bb7baf2984c |
completed | April 18, 2026, 6:58 a.m. |
Created at: April 10, 2026, 5:29 a.m.