Triple
T20011006
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Doubtful Guest |
E494587
|
entity |
| Predicate | lengthOfStay |
P138354
|
FINISHED |
| Object | indefinite |
—
|
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: indefinite | Statement: [The Doubtful Guest, lengthOfStay, indefinite]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lengthOfStay Context triple: [The Doubtful Guest, lengthOfStay, indefinite]
-
A.
reasonForStay
Indicates the underlying cause, purpose, or circumstance that explains why an entity remains or is staying in a particular place or situation.
-
B.
requiresQualifyingHospitalStayFor
Indicates that one entity must have a prior qualifying hospital stay as a prerequisite condition for another entity (such as a service, benefit, or coverage) to apply.
-
C.
numberOfHospitalized
Indicates the count of individuals who have been admitted to a hospital for medical care.
-
D.
treatmentDuration
Indicates the length of time over which a particular treatment is administered or remains in effect.
-
E.
durationOfAffliction
Indicates the length of time that an affliction or condition persists for an entity.
- 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_69da626b2d748190886981ea90c8b2ea |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e662362df48190abf16129eea39985 |
completed | April 20, 2026, 5:28 p.m. |
| PD | Predicate disambiguation | batch_69e54cdddbd48190becc8b2aa5ab4ef9 |
completed | April 19, 2026, 9:45 p.m. |
| PDg | Predicate description generation | batch_69e54fc20888819083c9118a09d0d2dc |
completed | April 19, 2026, 9:57 p.m. |
Created at: April 11, 2026, 3:33 p.m.