Triple
T15296847
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gil Pender |
E365682
|
entity |
| Predicate | timeTravelDestination |
P21947
|
FINISHED |
| Object | 1920s Paris |
—
|
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: 1920s Paris | Statement: [Gil Pender, timeTravelDestination, 1920s Paris]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timeTravelDestination Context triple: [Gil Pender, timeTravelDestination, 1920s Paris]
-
A.
travelScope
Indicates the extent or range within which travel is allowed, intended, or applicable for an entity or activity.
-
B.
journeyDestination
chosen
Indicates that one entity serves as the endpoint or intended destination of another entity’s journey or travel.
-
C.
travelCapability
Indicates the ability or capacity of an entity to move or be transported from one location to another.
-
D.
travelsAbroad
Indicates that an entity goes to or spends time in a foreign country outside its usual nation of residence.
-
E.
coTraveler
Indicates that two or more entities are traveling together along (part of) the same journey or route.
- 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_69d85a113ee881908e297a1d38dd79fa |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e036848c1881908fbaaae0216d6d27 |
completed | April 16, 2026, 1:08 a.m. |
| PD | Predicate disambiguation | batch_69deca935e2c8190b640987ddfc542b9 |
completed | April 14, 2026, 11:15 p.m. |
Created at: April 10, 2026, 3:15 a.m.