Triple
T33336429
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sombertown |
E853548
|
entity |
| Predicate | changesAfterEvents |
P178649
|
FINISHED |
| Object | becomes more joyful after toys are introduced |
—
|
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: becomes more joyful after toys are introduced | Statement: [Sombertown, changesAfterEvents, becomes more joyful after toys are introduced]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: changesAfterEvents Context triple: [Sombertown, changesAfterEvents, becomes more joyful after toys are introduced]
-
A.
changedAfter
Indicates that one entity underwent a change at a point in time that is later than the time at which another referenced entity changed.
-
B.
replacedAfterEvent
Indicates that one entity takes the place of another entity following a specified event or occurrence.
-
C.
changesWith
Indicates that one entity varies or is modified in response to changes in another entity.
-
D.
capitalAfterEvent
Indicates that a location became the capital of a political or administrative entity as a result of, or following, a specific event.
-
E.
setAfterEventsOf
Indicates that one event or state is positioned or scheduled to occur after the completion of one or more specified preceding events.
- 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_69f34969614c81909cd99661b0902533 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f713bfdc148190a249a7874320bab8 |
completed | May 3, 2026, 9:22 a.m. |
| PD | Predicate disambiguation | batch_69f7127884388190884f23d181a65d19 |
completed | May 3, 2026, 9:16 a.m. |
| PDg | Predicate description generation | batch_69f7135fa2988190a20a94cfe616d754 |
completed | May 3, 2026, 9:20 a.m. |
Created at: May 1, 2026, 1:34 a.m.