Triple
T34938627
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Robert (Cathedral) |
E1007650
|
entity |
| Predicate | destinationOfVisit |
P97481
|
FINISHED |
| Object | the narrator's home |
—
|
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: the narrator's home | Statement: [Robert (Cathedral), destinationOfVisit, the narrator's home]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: destinationOfVisit Context triple: [Robert (Cathedral), destinationOfVisit, the narrator's home]
-
A.
journeyDestination
Indicates that one entity serves as the endpoint or intended destination of another entity’s journey or travel.
-
B.
destinationOfVoyageTo
chosen
Indicates the endpoint location that a particular voyage or journey is directed toward or arrives at.
-
C.
destinationCity
Indicates the city to which an entity is traveling, being sent, or ultimately directed.
-
D.
visitedLocation
Indicates that an entity has gone to or spent time at a particular location.
-
E.
landingPlace
Indicates the location or surface where something or someone comes down to rest after moving through the air or space.
- 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_69f76dc513fc819084a1ff52abbfa5bc |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f782c98fa08190870b68de2c1ff26a |
completed | May 3, 2026, 5:15 p.m. |
| PD | Predicate disambiguation | batch_69f781020cc4819088c40cb8589504e4 |
completed | May 3, 2026, 5:08 p.m. |
Created at: May 3, 2026, 4 p.m.