Triple
T28522540
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | General (wraparound segment of Cat's Eye) |
E721824
|
entity |
| Predicate | connectsSegment |
P164769
|
FINISHED |
| Object | Quitters, Inc. |
—
|
NE NERFINISHED |
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: Quitters, Inc. | Statement: [General (wraparound segment of Cat's Eye), connectsSegment, Quitters, Inc.]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: connectsSegment Context triple: [General (wraparound segment of Cat's Eye), connectsSegment, Quitters, Inc.]
-
A.
connectsSectionsOf
chosen
Indicates a relationship where one entity serves as a link or bridge between two or more distinct sections of another entity or structure.
-
B.
connectsPartOf
Indicates a relationship where one entity serves to link or join a component to the larger whole of which that component is a part.
-
C.
connectsIslandSection
Indicates a relationship where one entity serves as a link or passage that joins or bridges separate sections of an island.
-
D.
connectedLine
Indicates that two entities are joined by a continuous line or linear connection.
-
E.
connectsViaCanal
Indicates that one entity is linked or joined to another by means of a canal.
- 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_69f01a5cbcc4819083fb4e723378713e |
completed | April 28, 2026, 2:24 a.m. |
| NER | Named-entity recognition | batch_69fd57ba740c8190bd1d40166fccccb7 |
completed | May 8, 2026, 3:25 a.m. |
| PD | Predicate disambiguation | batch_69fd55ee82b881908a639da3a41b3af6 |
completed | May 8, 2026, 3:18 a.m. |
Created at: April 28, 2026, 3:21 a.m.