Triple
T8161587
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Poplars, Fog Effect |
E190587
|
entity |
| Predicate | seriesSubject |
P81032
|
FINISHED |
| Object | poplar trees along a riverbank |
—
|
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: poplar trees along a riverbank | Statement: [Poplars, Fog Effect, seriesSubject, poplar trees along a riverbank]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: seriesSubject Context triple: [Poplars, Fog Effect, seriesSubject, poplar trees along a riverbank]
-
A.
seriesFocus
Indicates that one entity serves as the primary subject, theme, or focal point of a series created, presented, or organized by another entity.
-
B.
seriesOf
Indicates that one entity is a sequence or ordered set of related items, events, or parts that collectively form or belong to another entity.
-
C.
seriesBy
Indicates that one entity is the creator, author, or originator of a series to which the other entity belongs.
-
D.
mainSeries
Indicates that one creative work is the primary or canonical series to which another related work (such as a spin-off, side story, or adaptation) belongs.
-
E.
seriesRole
Indicates the specific role or function an entity has within a series or sequence of related items.
- 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_69ca82c0ef14819083713f4473dd847c |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb455559188190bf95d9d93bb76002 |
completed | March 31, 2026, 3:53 a.m. |
| PD | Predicate disambiguation | batch_69cb36a4c40c81909f60aef0e1624c13 |
completed | March 31, 2026, 2:51 a.m. |
| PDg | Predicate description generation | batch_69cb40a017608190b6b48cf60335fa8d |
completed | March 31, 2026, 3:33 a.m. |
Created at: March 30, 2026, 5:38 p.m.