Triple
T35432561
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Autumn |
E1024101
|
entity |
| Predicate | oftenChosenBecause |
P3364
|
FINISHED |
| Object | parents like the autumn season |
—
|
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: parents like the autumn season | Statement: [Autumn, oftenChosenBecause, parents like the autumn season]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: oftenChosenBecause Context triple: [Autumn, oftenChosenBecause, parents like the autumn season]
-
A.
selectionReason
chosen
Indicates the reason or justification for choosing or selecting one entity over alternatives.
-
B.
symbolicallyChosenFor
Indicates that an entity has been selected to represent or stand in for something else in a symbolic or emblematic way.
-
C.
oftenSoughtOn
Indicates that one entity is frequently searched for, requested, or pursued in relation to another entity.
-
D.
oftenGivenTo
Indicates that something is frequently provided, granted, or presented to a particular entity.
-
E.
isOftenRecommendedBy
Indicates that one entity is frequently suggested or endorsed by another as a preferred or suitable choice.
- 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_69f76df743c48190aecb6dd79efb0d95 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fd884cb2b48190b6acd473430d9e19 |
completed | May 8, 2026, 6:53 a.m. |
| PD | Predicate disambiguation | batch_69fd8709ca208190a8bab836f0156af5 |
completed | May 8, 2026, 6:47 a.m. |
Created at: May 3, 2026, 4:03 p.m.