Triple
T25704101
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Country of the Houyhnhnms |
E644539
|
entity |
| Predicate | departureCauseOfVisitor |
P54103
|
FINISHED |
| Object | banishment of Gulliver |
—
|
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: banishment of Gulliver | Statement: [Country of the Houyhnhnms, departureCauseOfVisitor, banishment of Gulliver]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: departureCauseOfVisitor Context triple: [Country of the Houyhnhnms, departureCauseOfVisitor, banishment of Gulliver]
-
A.
coveredReasonForLeave
Indicates that a specified reason for leave is included under and qualifies for coverage within a particular leave policy or program.
-
B.
departureStory
Indicates a narrative or account describing how, why, and under what circumstances an entity left or departed from a place, role, or situation.
-
C.
disappearanceCause
chosen
Indicates the reason or factor that led to an entity’s disappearance.
-
D.
visitorService
Indicates a relationship where a service is provided specifically for or to visitors, such as assistance, information, or support during their visit.
-
E.
visitor
Indicates that one entity is present at or attending another entity’s location, event, or context as a non-permanent guest.
- 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_69e77e83c8ec8190bf52fcdac4838984 |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f5fc0f911c819083ea7748550df1d0 |
completed | May 2, 2026, 1:28 p.m. |
| PD | Predicate disambiguation | batch_69f480824a1c81908a8a492eedbc2596 |
completed | May 1, 2026, 10:29 a.m. |
Created at: April 21, 2026, 9:01 p.m.